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ORCIDDavide Scaramuzza 0001
Person information
- affiliation: ETH Zurich / University of Zurich, Department of Neuroinformatics, Switzerland
Other persons with the same name
- Davide Scaramuzza 0002
![[0000-0002-4798-5682]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4798-5682")
— Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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2020 – today
- 2024
[j102]Marziyeh Bamdad, Davide Scaramuzza, Alireza Darvishy:
SLAM for Visually Impaired People: A Survey. IEEE Access 12: 130165-130211 (2024)- [j101]Daniel Gehrig, Davide Scaramuzza:
Low-latency automotive vision with event cameras. Nat. 629(8014): 1034-1040 (2024) - [j100]Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza:
Dense Continuous-Time Optical Flow From Event Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4736-4746 (2024) - [j99]Ashish Devadas Nair, Julien Kindle, Plamen Levchev, Davide Scaramuzza:
Hilti SLAM Challenge 2023: Benchmarking Single + Multi-Session SLAM Across Sensor Constellations in Construction. IEEE Robotics Autom. Lett. 9(8): 7286-7293 (2024) - [j98]Letizia Gionfrida, Daekyum Kim, Davide Scaramuzza, Dario Farina, Robert D. Howe:
Wearable robots for the real world need vision. Sci. Robotics 9(90) (2024) - [j97]Mohammed Salah, Abdulla Ayyad, Muhammad Humais, Daniel Gehrig, Abdelqader Abusafieh, Lakmal D. Seneviratne, Davide Scaramuzza, Yahya H. Zweiri:
E-Calib: A Fast, Robust, and Accurate Calibration Toolbox for Event Cameras. IEEE Trans. Image Process. 33: 3977-3990 (2024) - [j96]Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing: A Survey. IEEE Trans. Robotics 40: 3044-3067 (2024) - [c160]Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza:
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception. CVPR Workshops 2024: 5701-5711 - [c159]Nikola Zubic, Mathias Gehrig, Davide Scaramuzza:
State Space Models for Event Cameras. CVPR 2024: 5819-5828 - [c158]Marco Cannici, Davide Scaramuzza:
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames. CVPR 2024: 9286-9296 - [c157]Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip:
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. CVPR 2024: 14596-14605 - [c156]Nico Messikommer, Yunlong Song, Davide Scaramuzza:
Contrastive Initial State Buffer for Reinforcement Learning. ICRA 2024: 2866-2872 - [c155]Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza:
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. ICRA 2024: 5330-5337 - [c154]Angel Romero, Yunlong Song, Davide Scaramuzza:
Actor-Critic Model Predictive Control. ICRA 2024: 14777-14784 - [c153]Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza:
Revisiting Token Pruning for Object Detection and Instance Segmentation. WACV 2024: 2646-2656 - [i166]Aníbal Ollero, Alejandro Suárez, Christos Papaioannidis, Ioannis Pitas, Juan M. Marredo, Viet Duong Hoang, Emad Ebeid, Vít Krátký, Martin Saska, Chloe Hanoune, Amr Afifi, Antonio Franchi, Charalampos Vourtsis, Dario Floreano, Goran Vasiljevic, Stjepan Bogdan, Alvaro Caballero, Fabio Ruggiero, Vincenzo Lippiello, Carlos Matilla, Giovanni Cioffi, Davide Scaramuzza, José Ramiro Martinez de Dios, Begoña C. Arrue, Carlos Martín, Krzysztof Zurad, Carlos Gaitan, Jacob Rodriguez, Antonio Munoz, Antidio Viguria:
AERIAL-CORE: AI-Powered Aerial Robots for Inspection and Maintenance of Electrical Power Infrastructures. CoRR abs/2401.02343 (2024) - [i165]Nikola Zubic, Mathias Gehrig, Davide Scaramuzza:
State Space Models for Event Cameras. CoRR abs/2402.15584 (2024) - [i164]Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza:
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight. CoRR abs/2403.12203 (2024) - [i163]Leonard Bauersfeld, Koen Muller, Dominic Ziegler, Filippo Coletti, Davide Scaramuzza:
Robotics meets Fluid Dynamics: A Characterization of the Induced Airflow around a Quadrotor. CoRR abs/2403.13321 (2024) - [i162]Yunlong Song, Sangbae Kim, Davide Scaramuzza:
Learning Quadruped Locomotion Using Differentiable Simulation. CoRR abs/2403.14864 (2024) - [i161]Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza:
Time-Optimal Flight with Safety Constraints and Data-driven Dynamics. CoRR abs/2403.17551 (2024) - [i160]Marco Cannici, Davide Scaramuzza:
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames. CoRR abs/2403.19780 (2024) - [i159]Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip:
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. CoRR abs/2404.00842 (2024) - [i158]Ashish Devadas Nair, Julien Kindle, Plamen Levchev, Davide Scaramuzza:
Hilti SLAM Challenge 2023: Benchmarking Single + Multi-session SLAM across Sensor Constellations in Construction. CoRR abs/2404.09765 (2024) - [i157]Manasi Muglikar, Siddharth Somasundaram, Akshat Dave, Edoardo Charbon, Ramesh Raskar, Davide Scaramuzza:
Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging. CoRR abs/2404.11511 (2024) - [i156]Nikola Zubic, Federico Soldà, Aurelio Sulser, Davide Scaramuzza:
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory. CoRR abs/2405.16674 (2024) - [i155]Ismail Geles, Leonard Bauersfeld, Angel Romero, Jiaxu Xing, Davide Scaramuzza:
Demonstrating Agile Flight from Pixels without State Estimation. CoRR abs/2406.12505 (2024) - [i154]Yunlong Song, Davide Scaramuzza:
Agile Robotics: Optimal Control, Reinforcement Learning, and Differentiable Simulation. CoRR abs/2407.01568 (2024) - [i153]Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza:
Reinforcement Learning Meets Visual Odometry. CoRR abs/2407.15626 (2024) - [i152]Ivan Alberico, Jeff Delaune, Giovanni Cioffi, Davide Scaramuzza:
Structure-Invariant Range-Visual-Inertial Odometry. CoRR abs/2409.04633 (2024) - [i151]Vincenzo Polizzi, Marco Cannici, Davide Scaramuzza, Jonathan Kelly:
FaVoR: Features via Voxel Rendering for Camera Relocalization. CoRR abs/2409.07571 (2024) - 2023
- [j95]Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Champion-level drone racing using deep reinforcement learning. Nat. 620(7976): 982-987 (2023) - [j94]Lintong Zhang, Michael Helmberger, Lanke Frank Tarimo Fu, David Wisth, Marco Camurri, Davide Scaramuzza, Maurice F. Fallon:
Hilti-Oxford Dataset: A Millimeter-Accurate Benchmark for Simultaneous Localization and Mapping. IEEE Robotics Autom. Lett. 8(1): 408-415 (2023) - [j93]Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers:
E-NeRF: Neural Radiance Fields From a Moving Event Camera. IEEE Robotics Autom. Lett. 8(3): 1587-1594 (2023) - [j92]Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. IEEE Robotics Autom. Lett. 8(4): 2397-2404 (2023) - [j91]Giovanni Cioffi, Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza:
Learned Inertial Odometry for Autonomous Drone Racing. IEEE Robotics Autom. Lett. 8(5): 2684-2691 (2023) - [j90]Yunlong Song, Angel Romero, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. Sci. Robotics 8(82) (2023) - [c152]Manasi Muglikar, Leonard Bauersfeld, Diederik Paul Moeys, Davide Scaramuzza:
Event-Based Shape from Polarization. CVPR 2023: 1547-1556 - [c151]Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi:
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras. CVPR Workshops 2023: 4129-4138 - [c150]Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza:
Data-Driven Feature Tracking for Event Cameras. CVPR 2023: 5642-5651 - [c149]Mathias Gehrig, Davide Scaramuzza:
Recurrent Vision Transformers for Object Detection with Event Cameras. CVPR 2023: 13884-13893 - [c148]Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip:
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. ICCV 2023: 8015-8025 - [c147]Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza:
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection. ICCV 2023: 12800-12810 - [c146]Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza:
Weighted Maximum Likelihood for Controller Tuning. ICRA 2023: 1334-1341 - [c145]Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza:
User-Conditioned Neural Control Policies for Mobile Robotics. ICRA 2023: 1342-1348 - [c144]Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza:
Training Efficient Controllers via Analytic Policy Gradient. ICRA 2023: 1349-1356 - [c143]Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza:
Learning Perception-Aware Agile Flight in Cluttered Environments. ICRA 2023: 1989-1995 - [c142]Benedek Forrai, Takahiro Miki, Daniel Gehrig, Marco Hutter, Davide Scaramuzza:
Event-based Agile Object Catching with a Quadrupedal Robot. ICRA 2023: 12177-12183 - [c141]Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza:
Autonomous Power Line Inspection with Drones via Perception-Aware MPC. IROS 2023: 1086-1093 - [c140]Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza:
Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. IROS 2023: 5243-5250 - [c139]Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza:
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO. Robotics: Science and Systems 2023 - [i150]Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing: A Survey. CoRR abs/2301.01755 (2023) - [i149]Manasi Muglikar, Leonard Bauersfeld, Diederik Paul Moeys, Davide Scaramuzza:
Event-based Shape from Polarization. CoRR abs/2301.06855 (2023) - [i148]Maryam Rezayati, Grammatiki Zanni, Ying Zaoshi, Davide Scaramuzza, Hans Wernher van de Venn:
Improving safety in physical human-robot collaboration via deep metric learning. CoRR abs/2302.11933 (2023) - [i147]Charith Munasinghe, Fatemeh Mohammadi Amin, Davide Scaramuzza, Hans Wernher van de Venn:
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation. CoRR abs/2302.12656 (2023) - [i146]Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza:
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception. CoRR abs/2303.14176 (2023) - [i145]Benedek Forrai, Takahiro Miki, Daniel Gehrig, Marco Hutter, Davide Scaramuzza:
Event-based Agile Object Catching with a Quadrupedal Robot. CoRR abs/2303.17479 (2023) - [i144]Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza:
Autonomous Power Line Inspection with Drones via Perception-Aware MPC. CoRR abs/2304.00959 (2023) - [i143]Davide Scaramuzza, Elia Kaufmann:
Learning Agile, Vision-based Drone Flight: from Simulation to Reality. CoRR abs/2304.04128 (2023) - [i142]Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi:
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras. CoRR abs/2304.07139 (2023) - [i141]Leyla Loued-Khenissi, Christian Pfeiffer, Rupal Saxena, Shivam Adarsh, Davide Scaramuzza:
Microgravity Induces Overconfidence in Perceptual Decision-making. CoRR abs/2304.12133 (2023) - [i140]Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza:
From Chaos Comes Order: Ordering Event Representations for Object Detection. CoRR abs/2304.13455 (2023) - [i139]Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza:
Revisiting Token Pruning for Object Detection and Instance Segmentation. CoRR abs/2306.07050 (2023) - [i138]Mohammed Salah, Abdulla Ayyad, Muhammad Humais, Daniel Gehrig, Abdelqader Abusafieh, Lakmal D. Seneviratne, Davide Scaramuzza, Yahya H. Zweiri:
E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras. CoRR abs/2306.09078 (2023) - [i137]Angel Romero, Yunlong Song, Davide Scaramuzza:
Actor-Critic Model Predictive Control. CoRR abs/2306.09852 (2023) - [i136]Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza:
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO. CoRR abs/2306.11429 (2023) - [i135]Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza:
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight. CoRR abs/2307.06100 (2023) - [i134]Rong Zou, Manasi Muglikar, Nico Messikommer, Davide Scaramuzza:
Seeing Behind Dynamic Occlusions with Event Cameras. CoRR abs/2307.15829 (2023) - [i133]Nico Messikommer, Yunlong Song, Davide Scaramuzza:
Contrastive Initial State Buffer for Reinforcement Learning. CoRR abs/2309.09752 (2023) - [i132]Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza:
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. CoRR abs/2309.09865 (2023) - [i131]Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza:
End-to-End Learned Event- and Image-based Visual Odometry. CoRR abs/2309.09947 (2023) - [i130]Giuseppe L'Erario, Drew Hanover, Angel Romero, Yunlong Song, Gabriele Nava, Paolo Maria Viceconte, Daniele Pucci, Davide Scaramuzza:
Learning to Walk and Fly with Adversarial Motion Priors. CoRR abs/2309.12784 (2023) - [i129]Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip:
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. CoRR abs/2309.17054 (2023) - [i128]Yunlong Song, Angel Romero, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza:
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning. CoRR abs/2310.10943 (2023) - [i127]Yunlong Song, Davide Scaramuzza:
Flymation: Interactive Animation for Flying Robots. CoRR abs/2310.11659 (2023) - 2022
- [j89]Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza:
AlphaPilot: autonomous drone racing. Auton. Robots 46(1): 307-320 (2022) - [j88]Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza:
Event-Based Vision: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 154-180 (2022) - [j87]Drew Hanover, Philipp Foehn, Sihao Sun, Elia Kaufmann, Davide Scaramuzza:
Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors. IEEE Robotics Autom. Lett. 7(2): 690-697 (2022) - [j86]Giovanni Cioffi, Titus Cieslewski, Davide Scaramuzza:
Continuous-Time Vs. Discrete-Time Vision-Based SLAM: A Comparative Study. IEEE Robotics Autom. Lett. 7(2): 2399-2406 (2022) - [j85]Leonard Bauersfeld, Davide Scaramuzza:
Range, Endurance, and Optimal Speed Estimates for Multicopters. IEEE Robotics Autom. Lett. 7(2): 2953-2960 (2022) - [j84]Julio L. Paneque, José Ramiro Martinez de Dios, Aníbal Ollero, Drew Hanover, Sihao Sun, Angel Romero, Davide Scaramuzza:
Perception-Aware Perching on Powerlines With Multirotors. IEEE Robotics Autom. Lett. 7(2): 3077-3084 (2022) - [j83]Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza:
Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation. IEEE Robotics Autom. Lett. 7(2): 3515-3522 (2022) - [j82]Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza:
AutoTune: Controller Tuning for High-Speed Flight. IEEE Robotics Autom. Lett. 7(2): 4432-4439 (2022) - [j81]Fang Nan, Sihao Sun, Philipp Foehn, Davide Scaramuzza:
Nonlinear MPC for Quadrotor Fault-Tolerant Control. IEEE Robotics Autom. Lett. 7(2): 5047-5054 (2022) - [j80]Robert Penicka, Davide Scaramuzza:
Minimum-Time Quadrotor Waypoint Flight in Cluttered Environments. IEEE Robotics Autom. Lett. 7(2): 5719-5726 (2022) - [j79]Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza:
Learning Minimum-Time Flight in Cluttered Environments. IEEE Robotics Autom. Lett. 7(3): 7209-7216 (2022) - [j78]Michael Helmberger, Kristian Morin, Beda Berner, Nitish Kumar, Giovanni Cioffi, Davide Scaramuzza:
The Hilti SLAM Challenge Dataset. IEEE Robotics Autom. Lett. 7(3): 7518-7525 (2022) - [j77]Angel Romero, Robert Penicka, Davide Scaramuzza:
Time-Optimal Online Replanning for Agile Quadrotor Flight. IEEE Robotics Autom. Lett. 7(3): 7730-7737 (2022) - [j76]Florian Mahlknecht, Daniel Gehrig, Jeremy Nash, Friedrich M. Rockenbauer, Benjamin Morrell, Jeff Delaune, Davide Scaramuzza:
Exploring Event Camera-Based Odometry for Planetary Robots. IEEE Robotics Autom. Lett. 7(4): 8651-8658 (2022) - [j75]Vincenzo Polizzi, Robert A. Hewitt, Javier Hidalgo-Carrió, Jeff Delaune, Davide Scaramuzza:
Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry. IEEE Robotics Autom. Lett. 7(4): 10681-10688 (2022) - [j74]Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza:
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight. Sci. Robotics 7(67) (2022) - [j73]Yunlong Song, Davide Scaramuzza:
Policy Search for Model Predictive Control With Application to Agile Drone Flight. IEEE Trans. Robotics 38(4): 2114-2130 (2022) - [j72]Angel Romero, Sihao Sun, Philipp Foehn, Davide Scaramuzza:
Model Predictive Contouring Control for Time-Optimal Quadrotor Flight. IEEE Trans. Robotics 38(6): 3340-3356 (2022) - [j71]Sihao Sun, Angel Romero, Philipp Foehn, Elia Kaufmann, Davide Scaramuzza:
A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight. IEEE Trans. Robotics 38(6): 3357-3373 (2022) - [c138]Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza:
Multi-Bracket High Dynamic Range Imaging with Event Cameras. CVPR Workshops 2022: 546-556 - [c137]Javier Hidalgo-Carrió, Guillermo Gallego, Davide Scaramuzza:
Event-aided Direct Sparse Odometry. CVPR 2022: 5771-5780 - [c136]Simon Schaefer, Daniel Gehrig, Davide Scaramuzza:
AEGNN: Asynchronous Event-based Graph Neural Networks. CVPR 2022: 12361-12371 - [c135]Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza:
Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion. CVPR 2022: 17734-17743 - [c134]Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza:
ESS: Learning Event-Based Semantic Segmentation from Still Images. ECCV (34) 2022: 341-357 - [c133]Charith Munasinghe, Fatemeh Mohammadi Amin, Davide Scaramuzza, Hans Wernher van de Venn:
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation. ETFA 2022: 1-4 - [c132]Maryam Rezayati, Grammatiki Zanni, Ying Zaoshi, Davide Scaramuzza, Hans Wernher van de Venn:
Improving safety in physical human-robot collaboration via deep metric learning. ETFA 2022: 1-8 - [c131]Elia Kaufmann, Leonard Bauersfeld, Davide Scaramuzza:
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight. ICRA 2022: 10504-10510 - [c130]Davide Scaramuzza, Elia Kaufmann:
Learning Agile, Vision-Based Drone Flight: From Simulation to Reality. ISRR 2022: 11-18 - [i126]Christian Pfeiffer, Simon Wengeler, Antonio Loquercio, Davide Scaramuzza:
Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents. CoRR abs/2201.02569 (2022) - [i125]Robert Penicka, Davide Scaramuzza:
Minimum-Time Quadrotor Waypoint Flight in Cluttered Environments. CoRR abs/2202.03947 (2022) - [i124]Julio L. Paneque, José Ramiro Martinez de Dios, Aníbal Ollero, Drew Hanover, Sihao Sun, Angel Romero, Davide Scaramuzza:
Perception-Aware Perching on Powerlines with Multirotors. CoRR abs/2202.06434 (2022) - [i123]Giovanni Cioffi, Titus Cieslewski, Davide Scaramuzza:
Continuous-Time vs. Discrete-Time Vision-based SLAM: A Comparative Study. CoRR abs/2202.08894 (2022) - [i122]Elia Kaufmann, Leonard Bauersfeld, Davide Scaramuzza:
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight. CoRR abs/2202.10796 (2022) - [i121]Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza:
Multi-Bracket High Dynamic Range Imaging with Event Cameras. CoRR abs/2203.06622 (2022) - [i120]Tim Salzmann, Elia Kaufmann, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. CoRR abs/2203.07747 (2022) - [i119]Angel Romero, Robert Penicka, Davide Scaramuzza:
Time-Optimal Online Replanning for Agile Quadrotor Flight. CoRR abs/2203.09839 (2022) - [i118]Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza:
ESS: Learning Event-based Semantic Segmentation from Still Images. CoRR abs/2203.10016 (2022) - [i117]Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza:
Dense Continuous-Time Optical Flow from Events and Frames. CoRR abs/2203.13674 (2022) - [i116]Daniel Gehrig, Davide Scaramuzza:
Are High-Resolution Event Cameras Really Needed? CoRR abs/2203.14672 (2022) - [i115]Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza:
Learning Minimum-Time Flight in Cluttered Environments. CoRR abs/2203.15052 (2022) - [i114]Simon Schaefer, Daniel Gehrig, Davide Scaramuzza:
AEGNN: Asynchronous Event-based Graph Neural Networks. CoRR abs/2203.17149 (2022) - [i113]Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza:
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion. CoRR abs/2203.17191 (2022) - [i112]Florian Mahlknecht, Daniel Gehrig, Jeremy Nash, Friedrich M. Rockenbauer, Benjamin Morrell, Jeff Delaune, Davide Scaramuzza:
Exploring Event Camera-based Odometry for Planetary Robots. CoRR abs/2204.05880 (2022) - [i111]Javier Hidalgo-Carrió, Guillermo Gallego Bonet, Davide Scaramuzza:
Event-aided Direct Sparse Odometry. CoRR abs/2204.07640 (2022) - [i110]Lintong Zhang, Michael Helmberger, Lanke Frank Tarimo Fu, David Wisth, Marco Camurri, Davide Scaramuzza, Maurice F. Fallon:
Hilti-Oxford Dataset: A Millimetre-Accurate Benchmark for Simultaneous Localization and Mapping. CoRR abs/2208.09825 (2022) - [i109]Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers:
E-NeRF: Neural Radiance Fields from a Moving Event Camera. CoRR abs/2208.11300 (2022) - [i108]Vincenzo Polizzi, Robert A. Hewitt, Javier Hidalgo-Carrió, Jeff Delaune, Davide Scaramuzza:
Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry. CoRR abs/2209.06588 (2022) - [i107]Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza:
Training Efficient Controllers via Analytic Policy Gradient. CoRR abs/2209.13052 (2022) - [i106]Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza:
Learning Perception-Aware Agile Flight in Cluttered Environments. CoRR abs/2210.01841 (2022) - [i105]Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza:
Weighted Maximum Likelihood for Controller Tuning. CoRR abs/2210.11087 (2022) - [i104]Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza:
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing. CoRR abs/2210.14985 (2022) - [i103]Giovanni Cioffi, Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza:
Learned Inertial Odometry for Autonomous Drone Racing. CoRR abs/2210.15287 (2022) - [i102]Leonard Bauersfeld, Angel Romero, Manasi Muglikar, Davide Scaramuzza:
Cracking Double-Blind Review: Authorship Attribution with Deep Learning. CoRR abs/2211.07467 (2022) - [i101]Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza:
User-Conditioned Neural Control Policies for Mobile Robotics. CoRR abs/2211.12181 (2022) - [i100]Daniel Gehrig, Davide Scaramuzza:
Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras. CoRR abs/2211.12324 (2022) - [i99]Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza:
Data-driven Feature Tracking for Event Cameras. CoRR abs/2211.12826 (2022) - [i98]Marziyeh Bamdad, Davide Scaramuzza, Alireza Darvishy:
SLAM for Visually Impaired People: A Survey. CoRR abs/2212.04745 (2022) - [i97]Mathias Gehrig, Davide Scaramuzza:
Recurrent Vision Transformers for Object Detection with Event Cameras. CoRR abs/2212.05598 (2022) - 2021
- [j70]Zichao Zhang, Torsten Sattler, Davide Scaramuzza:
Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis. Int. J. Comput. Vis. 129(4): 821-844 (2021) - [j69]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
High Speed and High Dynamic Range Video with an Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1964-1980 (2021) - [j68]Sihao Sun, Giovanni Cioffi, Coen de Visser, Davide Scaramuzza:
Autonomous Quadrotor Flight Despite Rotor Failure With Onboard Vision Sensors: Frames vs. Events. IEEE Robotics Autom. Lett. 6(2): 580-587 (2021) - [j67]Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza:
Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. IEEE Robotics Autom. Lett. 6(2): 2822-2829 (2021) - [j66]Christian Pfeiffer, Davide Scaramuzza:
Human-Piloted Drone Racing: Visual Processing and Control. IEEE Robotics Autom. Lett. 6(2): 3467-3474 (2021) - [j65]Guillem Torrente, Elia Kaufmann, Philipp Foehn, Davide Scaramuzza:
Data-Driven MPC for Quadrotors. IEEE Robotics Autom. Lett. 6(2): 3769-3776 (2021) - [j64]Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr:
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 6(3): 4257-4264 (2021) - [j63]Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza:
DSEC: A Stereo Event Camera Dataset for Driving Scenarios. IEEE Robotics Autom. Lett. 6(3): 4947-4954 (2021) - [j62]Philipp Foehn, Angel Romero, Davide Scaramuzza:
Time-optimal planning for quadrotor waypoint flight. Sci. Robotics 6(56): 1221 (2021) - [j61]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Learning high-speed flight in the wild. Sci. Robotics 6(59) (2021) - [c129]Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza:
E-RAFT: Dense Optical Flow from Event Cameras. 3DV 2021: 197-206 - [c128]Manasi Muglikar, Diederik Paul Moeys, Davide Scaramuzza:
Event Guided Depth Sensing. 3DV 2021: 385-393 - [c127]Manasi Muglikar, Guillermo Gallego, Davide Scaramuzza:
ESL: Event-based Structured Light. 3DV 2021: 1165-1174 - [c126]Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza:
How To Calibrate Your Event Camera. CVPR Workshops 2021: 1403-1409 - [c125]Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza:
Time Lens: Event-Based Video Frame Interpolation. CVPR 2021: 16155-16164 - [c124]Antonio Vitale, Alpha Renner, Celine Nauer, Davide Scaramuzza, Yulia Sandamirskaya:
Event-driven Vision and Control for UAVs on a Neuromorphic Chip. ICRA 2021: 103-109 - [c123]Amedeo Fabris, Kevin Kleber, Davide Falanga, Davide Scaramuzza:
Geometry-aware Compensation Scheme for Morphing Drones. ICRA 2021: 592-598 - [c122]Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza:
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. ICRA 2021: 9403-9409 - [c121]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics (Extended Abstract). IJCAI 2021: 4780-4783 - [c120]Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing with Deep Reinforcement Learning. IROS 2021: 1205-1212 - [c119]Alexander Dietsche, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza:
Powerline Tracking with Event Cameras. IROS 2021: 6990-6997 - [c118]Leonard Bauersfeld, Elia Kaufmann, Philipp Foehn, Sihao Sun, Davide Scaramuzza:
NeuroBEM: Hybrid Aerodynamic Quadrotor Model. Robotics: Science and Systems 2021 - [d1]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza:
Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021). Zenodo, 2021
- [i96]Guillem Torrente, Elia Kaufmann, Philipp Foehn, Davide Scaramuzza:
Data-Driven MPC for Quadrotors. CoRR abs/2102.05773 (2021) - [i95]Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza:
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. CoRR abs/2102.09320 (2021) - [i94]Sihao Sun, Giovanni Cioffi, Coen de Visser, Davide Scaramuzza:
Autonomous Quadrotor Flight despite Rotor Failure with Onboard Vision Sensors: Frames vs. Events. CoRR abs/2102.13406 (2021) - [i93]Christian Pfeiffer, Davide Scaramuzza:
Human-Piloted Drone Racing: Visual Processing and Control. CoRR abs/2103.04672 (2021) - [i92]Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza:
DSEC: A Stereo Event Camera Dataset for Driving Scenarios. CoRR abs/2103.06011 (2021) - [i91]Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing with Deep Reinforcement Learning. CoRR abs/2103.08624 (2021) - [i90]Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza:
AutoTune: Controller Tuning for High-Speed Flight. CoRR abs/2103.10698 (2021) - [i89]Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza:
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. CoRR abs/2103.14666 (2021) - [i88]Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza:
How to Calibrate Your Event Camera. CoRR abs/2105.12362 (2021) - [i87]Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza:
TimeLens: Event-based Video Frame Interpolation. CoRR abs/2106.07286 (2021) - [i86]Leonard Bauersfeld, Elia Kaufmann, Philipp Foehn, Sihao Sun, Davide Scaramuzza:
NeuroBEM: Hybrid Aerodynamic Quadrotor Model. CoRR abs/2106.08015 (2021) - [i85]Alexander Dietsche, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza:
Powerline Tracking with Event Cameras. CoRR abs/2108.00515 (2021) - [i84]Antonio Vitale, Alpha Renner, Celine Nauer, Davide Scaramuzza, Yulia Sandamirskaya:
Event-driven Vision and Control for UAVs on a Neuromorphic Chip. CoRR abs/2108.03694 (2021) - [i83]Philipp Foehn, Angel Romero, Davide Scaramuzza:
Time-Optimal Planning for Quadrotor Waypoint Flight. CoRR abs/2108.04537 (2021) - [i82]Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza:
Dense Optical Flow from Event Cameras. CoRR abs/2108.10552 (2021) - [i81]Angel Romero, Sihao Sun, Philipp Foehn, Davide Scaramuzza:
Model Predictive Contouring Control for Near-Time-Optimal Quadrotor Flight. CoRR abs/2108.13205 (2021) - [i80]Sihao Sun, Angel Romero, Philipp Foehn, Elia Kaufmann, Davide Scaramuzza:
A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight. CoRR abs/2109.01365 (2021) - [i79]Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza:
Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation. CoRR abs/2109.02618 (2021) - [i78]Drew Hanover, Philipp Foehn, Sihao Sun, Elia Kaufmann, Davide Scaramuzza:
Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors. CoRR abs/2109.04210 (2021) - [i77]Leonard Bauersfeld, Davide Scaramuzza:
Range, Endurance, and Optimal Speed Estimates for Multicopters. CoRR abs/2109.04741 (2021) - [i76]Christian Pfeiffer, Davide Scaramuzza:
Expertise Affects Drone Racing Performance. CoRR abs/2109.07307 (2021) - [i75]Michael Helmberger, Kristian Morin, Nitish Kumar, Danwei Wang, Yufeng Yue, Giovanni Cioffi, Davide Scaramuzza:
The Hilti SLAM Challenge Dataset. CoRR abs/2109.11316 (2021) - [i74]Fang Nan, Sihao Sun, Philipp Foehn, Davide Scaramuzza:
Nonlinear MPC for Quadrotor Fault-Tolerant Control. CoRR abs/2109.12886 (2021) - [i73]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Learning High-Speed Flight in the Wild. CoRR abs/2110.05113 (2021) - [i72]Manasi Muglikar, Diederik Paul Moeys, Davide Scaramuzza:
Event Guided Depth Sensing. CoRR abs/2110.10505 (2021) - [i71]Manasi Muglikar, Guillermo Gallego, Davide Scaramuzza:
ESL: Event-based Structured Light. CoRR abs/2111.15510 (2021) - [i70]Yunlong Song, Davide Scaramuzza:
Policy Search for Model Predictive Control with Application to Agile Drone Flight. CoRR abs/2112.03850 (2021) - 2020
- [j60]Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames. Int. J. Comput. Vis. 128(3): 601-618 (2020) - [j59]Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
Correction to: EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames. Int. J. Comput. Vis. 128(3): 619 (2020) - [j58]Giuseppe Loianno, Davide Scaramuzza:
Special issue on future challenges and opportunities in vision-based drone navigation. J. Field Robotics 37(4): 495-496 (2020) - [j57]Antonio Loquercio, Mattia Segù, Davide Scaramuzza:
A General Framework for Uncertainty Estimation in Deep Learning. IEEE Robotics Autom. Lett. 5(2): 3153-3160 (2020) - [j56]Amadeus Oertel, Titus Cieslewski, Davide Scaramuzza:
Augmenting Visual Place Recognition With Structural Cues. IEEE Robotics Autom. Lett. 5(4): 5534-5541 (2020) - [j55]Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza:
Learning Depth With Very Sparse Supervision. IEEE Robotics Autom. Lett. 5(4): 5542-5549 (2020) - [j54]Davide Falanga, Kevin Kleber, Davide Scaramuzza:
Dynamic obstacle avoidance for quadrotors with event cameras. Sci. Robotics 5(40): 9712 (2020) - [j53]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Trans. Robotics 36(1): 1-14 (2020) - [c117]Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza:
Learning Monocular Dense Depth from Events. 3DV 2020: 534-542 - [c116]Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza:
Flightmare: A Flexible Quadrotor Simulator. CoRL 2020: 1147-1157 - [c115]Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza:
Video to Events: Recycling Video Datasets for Event Cameras. CVPR 2020: 3583-3592 - [c114]Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza:
Event-Based Asynchronous Sparse Convolutional Networks. ECCV (8) 2020: 415-431 - [c113]Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert E. Mahony:
Reducing the Sim-to-Real Gap for Event Cameras. ECCV (27) 2020: 534-549 - [c112]Kristof Van Beeck, Tanguy Ophoff, Maarten Vandersteegen, Tinne Tuytelaars, Davide Scaramuzza, Toon Goedemé:
Real-Time Embedded Computer Vision on UAVs: - UAVision2020 Workshop Summary. ECCV Workshops (4) 2020: 665-674 - [c111]Dimche Kostadinov, Davide Scaramuzza:
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation. ICPR 2020: 5981-5987 - [c110]Juichung Kuo, Manasi Muglikar, Zichao Zhang, Davide Scaramuzza:
Redesigning SLAM for Arbitrary Multi-Camera Systems. ICRA 2020: 2116-2122 - [c109]Manasi Muglikar, Zichao Zhang, Davide Scaramuzza:
Voxel Map for Visual SLAM. ICRA 2020: 4181-4187 - [c108]Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza:
Event-Based Angular Velocity Regression with Spiking Networks. ICRA 2020: 4195-4202 - [c107]Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza:
Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras. ICRA 2020: 4294-4300 - [c106]Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh, Ashwin V. Kuruttukulam, Cornelia Fermüller, Davide Scaramuzza, Yiannis Aloimonos:
EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras. ICRA 2020: 10651-10657 - [c105]Dimche Kostadinov, Davide Scaramuzza:
Online Weight-adaptive Nonlinear Model Predictive Control. IROS 2020: 1180-1185 - [c104]Balázs Nagy, Philipp Foehn, Davide Scaramuzza:
Faster than FAST: GPU-Accelerated Frontend for High-Speed VIO. IROS 2020: 4361-4368 - [c103]Giovanni Cioffi, Davide Scaramuzza:
Tightly-coupled Fusion of Global Positional Measurements in Optimization-based Visual-Inertial Odometry. IROS 2020: 5089-5095 - [c102]Yunlong Song, Davide Scaramuzza:
Learning High-Level Policies for Model Predictive Control. IROS 2020: 7629-7636 - [c101]Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone:
Primal-Dual Mesh Convolutional Neural Networks. NeurIPS 2020 - [c100]Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza:
AlphaPilot: Autonomous Drone Racing. Robotics: Science and Systems 2020 - [c99]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics. Robotics: Science and Systems 2020 - [c98]Cedric Scheerlinck, Henri Rebecq, Daniel Gehrig, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
Fast Image Reconstruction with an Event Camera. WACV 2020: 156-163 - [i69]Florentin Liebmann, Simon Roner, Marco von Atzigen, Florian Wanivenhaus, Caroline Neuhaus, José Miguel Spirig, Davide Scaramuzza, Reto Sutter, Jess Gerrit Snedeker, Mazda Farshad, Philipp Fürnstahl:
Registration made easy - standalone orthopedic navigation with HoloLens. CoRR abs/2001.06209 (2020) - [i68]Amadeus Oertel, Titus Cieslewski, Davide Scaramuzza:
Augmenting Visual Place Recognition with Structural Cues. CoRR abs/2003.00278 (2020) - [i67]Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza:
Learning Depth via Interaction. CoRR abs/2003.00752 (2020) - [i66]Juichung Kuo, Manasi Muglikar, Zichao Zhang, Davide Scaramuzza:
Redesigning SLAM for Arbitrary Multi-Camera Systems. CoRR abs/2003.02014 (2020) - [i65]Manasi Muglikar, Zichao Zhang, Davide Scaramuzza:
Voxel Map for Visual SLAM. CoRR abs/2003.02247 (2020) - [i64]Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza:
Event-Based Angular Velocity Regression with Spiking Networks. CoRR abs/2003.02790 (2020) - [i63]Amedeo Fabris, Kevin Kleber, Davide Falanga, Davide Scaramuzza:
Geometry-aware Compensation Scheme for Morphing Drones. CoRR abs/2003.03929 (2020) - [i62]Giovanni Cioffi, Davide Scaramuzza:
Tightly-coupled Fusion of Global Positional Measurements in Optimization-based Visual-Inertial Odometry. CoRR abs/2003.04159 (2020) - [i61]Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. CoRR abs/2003.05654 (2020) - [i60]Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert E. Mahony:
How to Train Your Event Camera Neural Network. CoRR abs/2003.09078 (2020) - [i59]Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza:
Event-based Asynchronous Sparse Convolutional Networks. CoRR abs/2003.09148 (2020) - [i58]Balázs Nagy, Philipp Foehn, Davide Scaramuzza:
Faster than FAST: GPU-Accelerated Frontend for High-Speed VIO. CoRR abs/2003.13493 (2020) - [i57]Zichao Zhang, Torsten Sattler, Davide Scaramuzza:
Reference Pose Generation for Visual Localization via Learned Features and View Synthesis. CoRR abs/2005.05179 (2020) - [i56]Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza:
AlphaPilot: Autonomous Drone Racing. CoRR abs/2005.12813 (2020) - [i55]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics. CoRR abs/2006.05768 (2020) - [i54]Philipp Foehn, Davide Scaramuzza:
CPC: Complementary Progress Constraints for Time-Optimal Quadrotor Trajectories. CoRR abs/2007.06255 (2020) - [i53]Yunlong Song, Davide Scaramuzza:
Learning High-Level Policies for Model Predictive Control. CoRR abs/2007.10284 (2020) - [i52]Dimche Kostadinov, Davide Scaramuzza:
Online Weight-adaptive Nonlinear Model Predictive Control. CoRR abs/2008.02532 (2020) - [i51]Zichao Zhang, Davide Scaramuzza:
Fisher Information Field: an Efficient and Differentiable Map for Perception-aware Planning. CoRR abs/2008.03324 (2020) - [i50]Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr:
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. CoRR abs/2008.07971 (2020) - [i49]Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza:
Flightmare: A Flexible Quadrotor Simulator. CoRR abs/2009.00563 (2020) - [i48]Dimche Kostadinov, Davide Scaramuzza:
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation. CoRR abs/2009.11044 (2020) - [i47]Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza:
Learning Monocular Dense Depth from Events. CoRR abs/2010.08350 (2020) - [i46]Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone:
Primal-Dual Mesh Convolutional Neural Networks. CoRR abs/2010.12455 (2020)
2010 – 2019
- 2019
- [j52]Florentin Liebmann, Simon Roner, Marco von Atzigen, Davide Scaramuzza, Reto Sutter, Jess Gerrit Snedeker, Mazda Farshad, Philipp Fürnstahl:
Pedicle screw navigation using surface digitization on the Microsoft HoloLens. Int. J. Comput. Assist. Radiol. Surg. 14(7): 1157-1165 (2019) - [j51]Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini:
A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones. IEEE Internet Things J. 6(5): 8357-8371 (2019) - [j50]Hyungpil Moon, José Martínez-Carranza, Titus Cieslewski, Matthias Faessler, Davide Falanga, Alessandro Simovic, Davide Scaramuzza, Shuo Li, Michaël M. O. I. Ozo, Christophe De Wagter, Guido de Croon, Sunyou Hwang, Sunggoo Jung, Hyunchul Shim, Haeryang Kim, Minhyuk Park, Tsz-Chiu Au, Si Jung Kim:
Challenges and implemented technologies used in autonomous drone racing. Intell. Serv. Robotics 12(2): 137-148 (2019) - [j49]Jeffrey A. Delmerico, Stefano Mintchev, Alessandro Giusti, Boris Gromov, Kamilo Melo, Tomislav Horvat, Cesar Cadena, Marco Hutter, Auke Jan Ijspeert, Dario Floreano, Luca Maria Gambardella, Roland Siegwart, Davide Scaramuzza:
The current state and future outlook of rescue robotics. J. Field Robotics 36(7): 1171-1191 (2019) - [j48]Davide Falanga, Kevin Kleber, Stefano Mintchev, Dario Floreano, Davide Scaramuzza:
The Foldable Drone: A Morphing Quadrotor That Can Squeeze and Fly. IEEE Robotics Autom. Lett. 4(2): 209-216 (2019) - [j47]Davide Falanga, Suseong Kim, Davide Scaramuzza:
How Fast Is Too Fast? The Role of Perception Latency in High-Speed Sense and Avoid. IEEE Robotics Autom. Lett. 4(2): 1884-1891 (2019) - [j46]Barza Nisar, Philipp Foehn, Davide Falanga, Davide Scaramuzza:
VIMO: Simultaneous Visual Inertial Model-Based Odometry and Force Estimation. IEEE Robotics Autom. Lett. 4(3): 2785-2792 (2019) - [j45]Ruben Gomez-Ojeda, Francisco Angel Moreno, David Zuñiga-Noël, Davide Scaramuzza, Javier González Jiménez:
PL-SLAM: A Stereo SLAM System Through the Combination of Points and Line Segments. IEEE Trans. Robotics 35(3): 734-746 (2019) - [c97]Titus Cieslewski, Konstantinos G. Derpanis, Davide Scaramuzza:
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning. 3DV 2019: 604-613 - [c96]Titus Cieslewski, Michael Bloesch, Davide Scaramuzza:
Matching Features without Descriptors: Implicitly Matched Interest Points. BMVC 2019: 32 - [c95]Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto:
Unsupervised Moving Object Detection via Contextual Information Separation. CVPR 2019: 879-888 - [c94]Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
CED: Color Event Camera Dataset. CVPR Workshops 2019: 1684-1693 - [c93]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
Events-To-Video: Bringing Modern Computer Vision to Event Cameras. CVPR 2019: 3857-3866 - [c92]Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza:
Focus Is All You Need: Loss Functions for Event-Based Vision. CVPR 2019: 12280-12289 - [c91]Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza:
End-to-End Learning of Representations for Asynchronous Event-Based Data. ICCV 2019: 5632-5642 - [c90]Timo Stoffregen, Guillermo Gallego, Tom Drummond, Lindsay Kleeman, Davide Scaramuzza:
Event-Based Motion Segmentation by Motion Compensation. ICCV 2019: 7243-7252 - [c89]Samuel Bryner, Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
Event-based, Direct Camera Tracking from a Photometric 3D Map using Nonlinear Optimization. ICRA 2019: 325-331 - [c88]Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. ICRA 2019: 690-696 - [c87]Zichao Zhang, Davide Scaramuzza:
Beyond Point Clouds: Fisher Information Field for Active Visual Localization. ICRA 2019: 5986-5992 - [c86]Jeffrey A. Delmerico, Titus Cieslewski, Henri Rebecq, Matthias Faessler, Davide Scaramuzza:
Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset. ICRA 2019: 6713-6719 - [c85]Titus Cieslewski, Andreas Ziegler, Davide Scaramuzza:
Exploration Without Global Consistency Using Local Volume Consolidation. ISRR 2019: 559-574 - [c84]Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. NeurIPS (Competition and Demos) 2019: 177-191 - [c83]Barza Nisar, Philipp Foehn, Davide Falanga, Davide Scaramuzza:
VIMO: Simultaneous Visual Inertial Model-Based Odometry and Force Estimation. Robotics: Science and Systems 2019 - [i45]Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto:
Unsupervised Moving Object Detection via Contextual Information Separation. CoRR abs/1901.03360 (2019) - [i44]Timo Stoffregen, Guillermo Gallego, Tom Drummond, Lindsay Kleeman, Davide Scaramuzza:
Event-Based Motion Segmentation by Motion Compensation. CoRR abs/1904.01293 (2019) - [i43]Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza:
Focus Is All You Need: Loss Functions For Event-based Vision. CoRR abs/1904.07235 (2019) - [i42]Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza:
End-to-End Learning of Representations for Asynchronous Event-Based Data. CoRR abs/1904.08245 (2019) - [i41]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
Events-to-Video: Bringing Modern Computer Vision to Event Cameras. CoRR abs/1904.08298 (2019) - [i40]Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza:
Event-based Vision: A Survey. CoRR abs/1904.08405 (2019) - [i39]Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
CED: Color Event Camera Dataset. CoRR abs/1904.10772 (2019) - [i38]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR abs/1905.09727 (2019) - [i37]Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh, Ashwin V. Kuruttukulam, Cornelia Fermüller, Davide Scaramuzza, Yiannis Aloimonos:
EVDodge: Embodied AI For High-Speed Dodging On A Quadrotor Using Event Cameras. CoRR abs/1906.02919 (2019) - [i36]Davide Scaramuzza, Zichao Zhang:
Visual-Inertial Odometry of Aerial Robots. CoRR abs/1906.03289 (2019) - [i35]Zichao Zhang, Davide Scaramuzza:
Rethinking Trajectory Evaluation for SLAM: a Probabilistic, Continuous-Time Approach. CoRR abs/1906.03996 (2019) - [i34]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
High Speed and High Dynamic Range Video with an Event Camera. CoRR abs/1906.07165 (2019) - [i33]Mattia Segù, Antonio Loquercio, Davide Scaramuzza:
A General Framework for Uncertainty Estimation in Deep Learning. CoRR abs/1907.06890 (2019) - [i32]Titus Cieslewski, Andreas Ziegler, Davide Scaramuzza:
Exploration Without Global Consistency Using Local Volume Consolidation. CoRR abs/1909.01423 (2019) - [i31]Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza:
Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras. CoRR abs/1911.04553 (2019) - [i30]Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza:
Video to Events: Bringing Modern Computer Vision Closer to Event Cameras. CoRR abs/1912.03095 (2019) - 2018
- [j44]Robert Fitch, Volkan Isler, Pratap Tokekar, Davide Scaramuzza:
Guest editorial: Special issue on active perception. Auton. Robots 42(2): 175-176 (2018) - [j43]Jeffrey A. Delmerico, Stefan Isler, Reza Sabzevari, Davide Scaramuzza:
A comparison of volumetric information gain metrics for active 3D object reconstruction. Auton. Robots 42(2): 197-208 (2018) - [j42]Henri Rebecq, Guillermo Gallego, Elias Mueggler, Davide Scaramuzza:
EMVS: Event-Based Multi-View Stereo - 3D Reconstruction with an Event Camera in Real-Time. Int. J. Comput. Vis. 126(12): 1394-1414 (2018) - [j41]Giuseppe Loianno, Davide Scaramuzza, Vijay Kumar:
Special Issue on High-Speed Vision-Based Autonomous Navigation of UAVs. J. Field Robotics 35(1): 3-4 (2018) - [j40]Kartik Mohta, Michael Watterson, Yash Mulgaonkar, Sikang Liu, Chao Qu, Anurag Makineni, Kelsey Saulnier, Ke Sun, Alex Zihao Zhu, Jeffrey A. Delmerico, Konstantinos Karydis, Nikolay Atanasov, Giuseppe Loianno, Davide Scaramuzza, Kostas Daniilidis, Camillo Jose Taylor, Vijay Kumar:
Fast, autonomous flight in GPS-denied and cluttered environments. J. Field Robotics 35(1): 101-120 (2018) - [j39]Guillermo Gallego, Jon E. A. Lund, Elias Mueggler, Henri Rebecq, Tobi Delbrück, Davide Scaramuzza:
Event-Based, 6-DOF Camera Tracking from Photometric Depth Maps. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2402-2412 (2018) - [j38]Matthias Faessler, Antonio Franchi, Davide Scaramuzza:
Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for Accurate Tracking of High-Speed Trajectories. IEEE Robotics Autom. Lett. 3(2): 620-626 (2018) - [j37]Antoni Rosinol Vidal, Henri Rebecq, Timo Horstschaefer, Davide Scaramuzza:
Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High-Speed Scenarios. IEEE Robotics Autom. Lett. 3(2): 994-1001 (2018) - [j36]Antonio Loquercio, Ana I. Maqueda, Carlos R. del-Blanco, Davide Scaramuzza:
DroNet: Learning to Fly by Driving. IEEE Robotics Autom. Lett. 3(2): 1088-1095 (2018) - [j35]Zichao Zhang, Guillermo Gallego, Davide Scaramuzza:
On the Comparison of Gauge Freedom Handling in Optimization-Based Visual-Inertial State Estimation. IEEE Robotics Autom. Lett. 3(3): 2710-2717 (2018) - [j34]Suseong Kim, Davide Falanga, Davide Scaramuzza:
Computing the Forward Reachable Set for a Multirotor Under First-Order Aerodynamic Effects. IEEE Robotics Autom. Lett. 3(4): 2934-2941 (2018) - [j33]Elias Mueggler, Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
Continuous-Time Visual-Inertial Odometry for Event Cameras. IEEE Trans. Robotics 34(6): 1425-1440 (2018) - [c82]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL 2018: 133-145 - [c81]Henri Rebecq, Daniel Gehrig, Davide Scaramuzza:
ESIM: an Open Event Camera Simulator. CoRL 2018: 969-982 - [c80]Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation. CVPR 2018: 3867-3876 - [c79]Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso García, Davide Scaramuzza:
Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars. CVPR 2018: 5419-5427 - [c78]Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, Davide Scaramuzza:
Semi-dense 3D Reconstruction with a Stereo Event Camera. ECCV (1) 2018: 242-258 - [c77]Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
Asynchronous, Photometric Feature Tracking Using Events and Frames. ECCV (12) 2018: 766-781 - [c76]Ruben Gomez-Ojeda, Zichao Zhang, Javier González Jiménez, Davide Scaramuzza:
Learning-Based Image Enhancement for Visual Odometry in Challenging HDR Environments. ICRA 2018: 805-811 - [c75]Titus Cieslewski, Siddharth Choudhary, Davide Scaramuzza:
Data-Efficient Decentralized Visual SLAM. ICRA 2018: 2466-2473 - [c74]Jeffrey A. Delmerico, Davide Scaramuzza:
A Benchmark Comparison of Monocular Visual-Inertial Odometry Algorithms for Flying Robots. ICRA 2018: 2502-2509 - [c73]Zichao Zhang, Davide Scaramuzza:
Perception-aware Receding Horizon Navigation for MAVs. ICRA 2018: 2534-2541 - [c72]Philipp Foehn, Davide Scaramuzza:
Onboard State Dependent LQR for Agile Quadrotors. ICRA 2018: 6566-6572 - [c71]Davide Falanga, Philipp Foehn, Peng Lu, Davide Scaramuzza:
PAMPC: Perception-Aware Model Predictive Control for Quadrotors. IROS 2018: 1-8 - [c70]Zichao Zhang, Davide Scaramuzza:
A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry. IROS 2018: 7244-7251 - [c69]Riccardo Spica, Davide Falanga, Eric Cristofalo, Eduardo Montijano, Davide Scaramuzza, Mac Schwager:
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing. Robotics: Science and Systems 2018 - [i29]Riccardo Spica, Davide Falanga, Eric Cristofalo, Eduardo Montijano, Davide Scaramuzza, Mac Schwager:
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing. CoRR abs/1801.02302 (2018) - [i28]Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation. CoRR abs/1804.01306 (2018) - [i27]Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso García, Davide Scaramuzza:
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars. CoRR abs/1804.01310 (2018) - [i26]Davide Falanga, Philipp Foehn, Peng Lu, Davide Scaramuzza:
PAMPC: Perception-Aware Model Predictive Control for Quadrotors. CoRR abs/1804.04811 (2018) - [i25]Titus Cieslewski, Davide Scaramuzza:
SIPS: Unsupervised Succinct Interest Points. CoRR abs/1805.01358 (2018) - [i24]Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini:
Ultra Low Power Deep-Learning-powered Autonomous Nano Drones. CoRR abs/1805.01831 (2018) - [i23]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR abs/1806.08548 (2018) - [i22]Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, Davide Scaramuzza:
Semi-Dense 3D Reconstruction with a Stereo Event Camera. CoRR abs/1807.07429 (2018) - [i21]Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
Asynchronous, Photometric Feature Tracking using Events and Frames. CoRR abs/1807.09713 (2018) - [i20]Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. CoRR abs/1810.06224 (2018) - [i19]Titus Cieslewski, Michael Bloesch, Davide Scaramuzza:
Matching Features without Descriptors: Implicitly Matched Interest Points (IMIPs). CoRR abs/1811.10681 (2018) - 2017
- [j32]Elias Mueggler, Henri Rebecq, Guillermo Gallego, Tobi Delbrück, Davide Scaramuzza:
The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM. Int. J. Robotics Res. 36(2): 142-149 (2017) - [j31]András L. Majdik, Charles Till, Davide Scaramuzza:
The Zurich urban micro aerial vehicle dataset. Int. J. Robotics Res. 36(3): 269-273 (2017) - [j30]Jacques Kaiser, Agostino Martinelli, Flavio Fontana, Davide Scaramuzza:
Simultaneous State Initialization and Gyroscope Bias Calibration in Visual Inertial Aided Navigation. IEEE Robotics Autom. Lett. 2(1): 18-25 (2017) - [j29]Matthias Faessler, Davide Falanga, Davide Scaramuzza:
Thrust Mixing, Saturation, and Body-Rate Control for Accurate Aggressive Quadrotor Flight. IEEE Robotics Autom. Lett. 2(2): 476-482 (2017) - [j28]Henri Rebecq, Timo Horstschaefer, Guillermo Gallego, Davide Scaramuzza:
EVO: A Geometric Approach to Event-Based 6-DOF Parallel Tracking and Mapping in Real Time. IEEE Robotics Autom. Lett. 2(2): 593-600 (2017) - [j27]Guillermo Gallego, Davide Scaramuzza:
Accurate Angular Velocity Estimation With an Event Camera. IEEE Robotics Autom. Lett. 2(2): 632-639 (2017) - [j26]Titus Cieslewski, Davide Scaramuzza:
Efficient Decentralized Visual Place Recognition Using a Distributed Inverted Index. IEEE Robotics Autom. Lett. 2(2): 640-647 (2017) - [j25]Jeffrey A. Delmerico, Elias Mueggler, Julia Nitsch, Davide Scaramuzza:
Active Autonomous Aerial Exploration for Ground Robot Path Planning. IEEE Robotics Autom. Lett. 2(2): 664-671 (2017) - [j24]Michele Mancini, Gabriele Costante, Paolo Valigi, Thomas A. Ciarfuglia, Jeffrey A. Delmerico, Davide Scaramuzza:
Toward Domain Independence for Learning-Based Monocular Depth Estimation. IEEE Robotics Autom. Lett. 2(3): 1778-1785 (2017) - [j23]Christian Forster, Luca Carlone, Frank Dellaert, Davide Scaramuzza:
On-Manifold Preintegration for Real-Time Visual-Inertial Odometry. IEEE Trans. Robotics 33(1): 1-21 (2017) - [j22]Christian Forster, Zichao Zhang, Michael Gassner, Manuel Werlberger, Davide Scaramuzza:
SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems. IEEE Trans. Robotics 33(2): 249-265 (2017) - [c68]Elias Mueggler, Chiara Bartolozzi, Davide Scaramuzza:
Fast Event-based Corner Detection. BMVC 2017 - [c67]Henri Rebecq, Timo Horstschaefer, Davide Scaramuzza:
Real-time Visual-Inertial Odometry for Event Cameras using Keyframe-based Nonlinear Optimization. BMVC 2017 - [c66]Yawei Ye, Titus Cieslewski, Antonio Loquercio, Davide Scaramuzza:
Place Recognition in Semi-Dense Maps. BMVC 2017 - [c65]Valentina Vasco, Arren Glover, Elias Mueggler, Davide Scaramuzza, Lorenzo Natale, Chiara Bartolozzi:
Independent motion detection with event-driven cameras. ICAR 2017: 530-536 - [c64]Zichao Zhang, Christian Forster, Davide Scaramuzza:
Active exposure control for robust visual odometry in HDR environments. ICRA 2017: 3894-3901 - [c63]Michael Gassner, Titus Cieslewski, Davide Scaramuzza:
Dynamic collaboration without communication: Vision-based cable-suspended load transport with two quadrotors. ICRA 2017: 5196-5202 - [c62]Davide Falanga, Elias Mueggler, Matthias Faessler, Davide Scaramuzza:
Aggressive quadrotor flight through narrow gaps with onboard sensing and computing using active vision. ICRA 2017: 5774-5781 - [c61]Titus Cieslewski, Elia Kaufmann, Davide Scaramuzza:
Rapid exploration with multi-rotors: A frontier selection method for high speed flight. IROS 2017: 2135-2142 - [c60]Titus Cieslewski, Davide Scaramuzza:
Efficient decentralized visual place recognition from full-image descriptors. MRS 2017: 78-82 - [c59]Philipp Foehn, Davide Falanga, Naveen Kuppuswamy, Russ Tedrake, Davide Scaramuzza:
Fast Trajectory Optimization for Agile Quadrotor Maneuvers with a Cable-Suspended Payload. Robotics: Science and Systems 2017 - [c58]Davide Falanga, Alessio Zanchettin, Alessandro Simovic, Jeffrey A. Delmerico, Davide Scaramuzza:
Vision-based autonomous quadrotor landing on a moving platform. SSRR 2017: 200-207 - [i18]Elias Mueggler, Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
Continuous-Time Visual-Inertial Trajectory Estimation with Event Cameras. CoRR abs/1702.07389 (2017) - [i17]Ruben Gomez-Ojeda, Francisco Angel Moreno, Davide Scaramuzza, Javier González Jiménez:
PL-SLAM: a Stereo SLAM System through the Combination of Points and Line Segments. CoRR abs/1705.09479 (2017) - [i16]Titus Cieslewski, Davide Scaramuzza:
Efficient Decentralized Visual Place Recognition From Full-Image Descriptors. CoRR abs/1705.10739 (2017) - [i15]Valentina Vasco, Arren Glover, Elias Mueggler, Davide Scaramuzza, Lorenzo Natale, Chiara Bartolozzi:
Independent motion detection with event-driven cameras. CoRR abs/1706.08713 (2017) - [i14]Ruben Gomez-Ojeda, Zichao Zhang, Javier González Jiménez, Davide Scaramuzza:
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments. CoRR abs/1707.01274 (2017) - [i13]Antoni Rosinol Vidal, Henri Rebecq, Timo Horstschaefer, Davide Scaramuzza:
Hybrid, Frame and Event based Visual Inertial Odometry for Robust, Autonomous Navigation of Quadrotors. CoRR abs/1709.06310 (2017) - [i12]Titus Cieslewski, Siddharth Choudhary, Davide Scaramuzza:
Data-Efficient Decentralized Visual SLAM. CoRR abs/1710.05772 (2017) - [i11]Kartik Mohta, Michael Watterson, Yash Mulgaonkar, Sikang Liu, Chao Qu, Anurag Makineni, Kelsey Saulnier, Ke Sun, Alex Zihao Zhu, Jeffrey A. Delmerico, Konstantinos Karydis, Nikolay Atanasov, Giuseppe Loianno, Davide Scaramuzza, Kostas Daniilidis, Camillo Jose Taylor, Vijay Kumar:
Fast, Autonomous Flight in GPS-Denied and Cluttered Environments. CoRR abs/1712.02052 (2017) - [i10]Matthias Faessler, Antonio Franchi, Davide Scaramuzza:
Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for Accurate Tracking of High-Speed Trajectories. CoRR abs/1712.02402 (2017) - 2016
- [j21]Matthias Faessler, Flavio Fontana, Christian Forster, Elias Mueggler, Matia Pizzoli, Davide Scaramuzza:
Autonomous, Vision-based Flight and Live Dense 3D Mapping with a Quadrotor Micro Aerial Vehicle. J. Field Robotics 33(4): 431-450 (2016) - [j20]Alessandro Giusti, Jerome Guzzi, Dan C. Ciresan, Fang-Lin He, Juan P. Rodriguez, Flavio Fontana, Matthias Faessler, Christian Forster, Jürgen Schmidhuber, Gianni Di Caro, Davide Scaramuzza, Luca Maria Gambardella:
A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots. IEEE Robotics Autom. Lett. 1(2): 661-667 (2016) - [j19]Reza Sabzevari, Davide Scaramuzza:
Multi-body Motion Estimation from Monocular Vehicle-Mounted Cameras. IEEE Trans. Robotics 32(3): 638-651 (2016) - [j18]Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, José Neira, Ian Reid, John J. Leonard:
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age. IEEE Trans. Robotics 32(6): 1309-1332 (2016) - [c57]Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
EMVS: Event-based Multi-View Stereo. BMVC 2016 - [c56]Christian Brandli, Jonas Strubel, Susanne Keller, Davide Scaramuzza, Tobi Delbrück:
ELiSeD - An event-based line segment detector. EBCCSP 2016: 1-7 - [c55]David Tedaldi, Guillermo Gallego, Elias Mueggler, Davide Scaramuzza:
Feature detection and tracking with the dynamic and active-pixel vision sensor (DAVIS). EBCCSP 2016: 1-7 - [c54]Zichao Zhang, Henri Rebecq, Christian Forster, Davide Scaramuzza:
Benefit of large field-of-view cameras for visual odometry. ICRA 2016: 801-808 - [c53]Stefan Isler, Reza Sabzevari, Jeffrey A. Delmerico, Davide Scaramuzza:
An information gain formulation for active volumetric 3D reconstruction. ICRA 2016: 3477-3484 - [c52]Beat Kueng, Elias Mueggler, Guillermo Gallego, Davide Scaramuzza:
Low-latency visual odometry using event-based feature tracks. IROS 2016: 16-23 - [c51]Jeffrey A. Delmerico, Alessandro Giusti, Elias Mueggler, Luca Maria Gambardella, Davide Scaramuzza:
"On-the-Spot Training" for Terrain Classification in Autonomous Air-Ground Collaborative Teams. ISER 2016: 574-585 - [c50]Roman Kaslin, Peter Fankhauser, Elena Stumm, Zachary Taylor, Elias Mueggler, Jeffrey A. Delmerico, Davide Scaramuzza, Roland Siegwart, Marco Hutter:
Collaborative localization of aerial and ground robots through elevation maps. SSRR 2016: 284-290 - [i9]Gabriele Costante, Christian Forster, Jeffrey A. Delmerico, Paolo Valigi, Davide Scaramuzza:
Perception-aware Path Planning. CoRR abs/1605.04151 (2016) - [i8]Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, José Neira, Ian D. Reid, John J. Leonard:
Simultaneous Localization And Mapping: Present, Future, and the Robust-Perception Age. CoRR abs/1606.05830 (2016) - [i7]Guillermo Gallego, Jon E. A. Lund, Elias Mueggler, Henri Rebecq, Tobi Delbrück, Davide Scaramuzza:
Event-based, 6-DOF Camera Tracking for High-Speed Applications. CoRR abs/1607.03468 (2016) - [i6]Elias Mueggler, Henri Rebecq, Guillermo Gallego, Tobi Delbrück, Davide Scaramuzza:
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM. CoRR abs/1610.08336 (2016) - [i5]Davide Falanga, Elias Mueggler, Matthias Faessler, Davide Scaramuzza:
Aggressive Quadrotor Flight through Narrow Gaps with Onboard Sensing and Computing. CoRR abs/1612.00291 (2016) - 2015
- [j17]Volker Grabe, Heinrich H. Bülthoff, Davide Scaramuzza, Paolo Robuffo Giordano:
Nonlinear ego-motion estimation from optical flow for online control of a quadrotor UAV. Int. J. Robotics Res. 34(8): 1114-1135 (2015) - [j16]András L. Majdik, Damiano Verda, Yves Albers-Schoenberg, Davide Scaramuzza:
Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles. J. Field Robotics 32(7): 1015-1039 (2015) - [j15]Chiara Troiani, Agostino Martinelli, Christian Laugier, Davide Scaramuzza:
Low computational-complexity algorithms for vision-aided inertial navigation of micro aerial vehicles. Robotics Auton. Syst. 69: 80-97 (2015) - [c49]Elias Mueggler, Nathan Baumli, Flavio Fontana, Davide Scaramuzza:
Towards evasive maneuvers with quadrotors using dynamic vision sensors. ECMR 2015: 1-8 - [c48]Reza Sabzevari, Eren Alak, Davide Scaramuzza:
PHENOM: Interest Points on Photometric Normal Maps. Eurographics (Posters) 2015: 19-20 - [c47]Christian Forster, Matthias Faessler, Flavio Fontana, Manuel Werlberger, Davide Scaramuzza:
Continuous on-board monocular-vision-based elevation mapping applied to autonomous landing of micro aerial vehicles. ICRA 2015: 111-118 - [c46]Matthias Faessler, Flavio Fontana, Christian Forster, Davide Scaramuzza:
Automatic re-initialization and failure recovery for aggressive flight with a monocular vision-based quadrotor. ICRA 2015: 1722-1729 - [c45]Elias Mueggler, Christian Forster, Nathan Baumli, Guillermo Gallego, Davide Scaramuzza:
Lifetime estimation of events from Dynamic Vision Sensors. ICRA 2015: 4874-4881 - [c44]Gabriele Costante, Jeffrey A. Delmerico, Manuel Werlberger, Paolo Valigi, Davide Scaramuzza:
Exploiting Photometric Information for Planning Under Uncertainty. ISRR (1) 2015: 107-124 - [c43]Christian Forster, Luca Carlone, Frank Dellaert, Davide Scaramuzza:
IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation. Robotics: Science and Systems 2015 - [c42]Elias Mueggler, Guillermo Gallego, Davide Scaramuzza:
Continuous-Time Trajectory Estimation for Event-based Vision Sensors. Robotics: Science and Systems 2015 - [i4]Jonas Schuler, Reza Sabzevari, Davide Scaramuzza:
LightPanel: Active Mobile Platform for Dense 3D Modelling. CoRR abs/1506.04904 (2015) - [i3]Guillermo Gallego, Christian Forster, Elias Mueggler, Davide Scaramuzza:
Event-based Camera Pose Tracking using a Generative Event Model. CoRR abs/1510.01972 (2015) - [i2]Christian Forster, Luca Carlone, Frank Dellaert, Davide Scaramuzza:
On-Manifold Preintegration Theory for Fast and Accurate Visual-Inertial Navigation. CoRR abs/1512.02363 (2015) - 2014
- [j14]Davide Scaramuzza, Michael Achtelik, Lefteris Doitsidis, Friedrich Fraundorfer, Elias B. Kosmatopoulos, Agostino Martinelli, Markus W. Achtelik, Margarita Chli, Savvas A. Chatzichristofis, Laurent Kneip, Daniel Gurdan, Lionel Heng, Gim Hee Lee, Simon Lynen, Marc Pollefeys, Alessandro Renzaglia, Roland Siegwart, Jan Carsten Stumpf, Petri Tanskanen, Chiara Troiani, Stephan Weiss, Lorenz Meier:
Vision-Controlled Micro Flying Robots: From System Design to Autonomous Navigation and Mapping in GPS-Denied Environments. IEEE Robotics Autom. Mag. 21(3): 26-40 (2014) - [c41]Christian Forster, Matia Pizzoli, Davide Scaramuzza:
SVO: Fast semi-direct monocular visual odometry. ICRA 2014: 15-22 - [c40]Reza Sabzevari, Davide Scaramuzza:
Monocular simultaneous multi-body motion segmentation and reconstruction from perspective views. ICRA 2014: 23-30 - [c39]Yanhua Jiang, Huiyan Chen, Guangming Xiong, Davide Scaramuzza:
ICP stereo visual odometry for wheeled vehicles based on a 1DOF motion prior. ICRA 2014: 585-592 - [c38]Andrea Censi, Davide Scaramuzza:
Low-latency event-based visual odometry. ICRA 2014: 703-710 - [c37]Matthias Faessler, Elias Mueggler, Karl Schwabe, Davide Scaramuzza:
A monocular pose estimation system based on infrared LEDs. ICRA 2014: 907-913 - [c36]Andras Majdik, Damiano Verda, Yves Albers-Schoenberg, Davide Scaramuzza:
Micro air vehicle localization and position tracking from textured 3D cadastral models. ICRA 2014: 920-927 - [c35]Matia Pizzoli, Christian Forster, Davide Scaramuzza:
REMODE: Probabilistic, monocular dense reconstruction in real time. ICRA 2014: 2609-2616 - [c34]Chiara Troiani, Agostino Martinelli, Christian Laugier, Davide Scaramuzza:
2-Point-based outlier rejection for camera-IMU systems with applications to micro aerial vehicles. ICRA 2014: 5530-5536 - [c33]Elias Mueggler, Basil Huber, Davide Scaramuzza:
Event-based, 6-DOF pose tracking for high-speed maneuvers. IROS 2014: 2761-2768 - [c32]Christian Forster, Matia Pizzoli, Davide Scaramuzza:
Appearance-based Active, Monocular, Dense Reconstruction for Micro Aerial Vehicles. Robotics: Science and Systems 2014 - [c31]Elias Mueggler, Matthias Faessler, Flavio Fontana, Davide Scaramuzza:
Aerial-guided navigation of a ground robot among movable obstacles. SSRR 2014: 1-8 - [r1]Davide Scaramuzza:
Omnidirectional Camera. Computer Vision, A Reference Guide 2014: 552-560 - 2013
- [j13]Andrea Censi, Davide Scaramuzza:
Calibration by Correlation Using Metric Embedding from Nonmetric Similarities. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2357-2370 (2013) - [c30]Chiara Troiani, Agostino Martinelli, Christian Laugier, Davide Scaramuzza:
1-Point-based monocular motion estimation for computationally-limited micro aerial vehicles. ECMR 2013: 13-18 - [c29]Christian Forster, Deon George Sabatta, Roland Siegwart, Davide Scaramuzza:
RFID-based hybrid metric-topological SLAM for GPS-denied environments. ICRA 2013: 5228-5234 - [c28]Andrea Censi, Jonas Strubel, Christian Brandli, Tobi Delbrück, Davide Scaramuzza:
Low-latency localization by active LED markers tracking using a dynamic vision sensor. IROS 2013: 891-898 - [c27]Christian Forster, Simon Lynen, Laurent Kneip, Davide Scaramuzza:
Collaborative monocular SLAM with multiple Micro Aerial Vehicles. IROS 2013: 3962-3970 - [c26]Christian Forster, Matia Pizzoli, Davide Scaramuzza:
Air-ground localization and map augmentation using monocular dense reconstruction. IROS 2013: 3971-3978 - [c25]Andras Majdik, Yves Albers-Schoenberg, Davide Scaramuzza:
MAV urban localization from Google street view data. IROS 2013: 3979-3986 - 2012
- [j12]Nathan Michael, Davide Scaramuzza, Vijay Kumar:
Special issue on micro-UAV perception and control. Auton. Robots 33(1-2): 1-3 (2012) - [j11]Lefteris Doitsidis, Stephan Weiss, Alessandro Renzaglia, Markus Achtelik, Elias B. Kosmatopoulos, Roland Siegwart, Davide Scaramuzza:
Optimal surveillance coverage for teams of micro aerial vehicles in GPS-denied environments using onboard vision. Auton. Robots 33(1-2): 173-188 (2012) - [c24]Roy Anati, Davide Scaramuzza, Konstantinos G. Derpanis, Kostas Daniilidis:
Robot localization using soft object detection. ICRA 2012: 4992-4999 - [c23]Markus Achtelik, Michael Achtelik, Yorick Brunet, Margarita Chli, Savvas A. Chatzichristofis, Jean-Dominique Decotignie, Klaus-Michael Doth, Friedrich Fraundorfer, Laurent Kneip, Daniel Gurdan, Lionel Heng, Elias B. Kosmatopoulos, Lefteris Doitsidis, Gim Hee Lee, Simon Lynen, Agostino Martinelli, Lorenz Meier, Marc Pollefeys, Damien Piguet, Alessandro Renzaglia, Davide Scaramuzza, Roland Siegwart, Jan Stumpf, Petri Tanskanen, Chiara Troiani, Stephan Weiss:
SFly: Swarm of micro flying robots. IROS 2012: 2649-2650 - 2011
- [b1]Roland Siegwart, Illah R. Nourbakhsh, Davide Scaramuzza:
Introduction to Autonomous Mobile Robots, Second Edition. Intelligent robotics and autonomous agents, MIT Press 2011, ISBN 978-0-262-01535-6, pp. I-XVI, 1-453 - [j10]Davide Scaramuzza:
1-Point-RANSAC Structure from Motion for Vehicle-Mounted Cameras by Exploiting Non-holonomic Constraints. Int. J. Comput. Vis. 95(1): 74-85 (2011) - [j9]Davide Scaramuzza:
Performance evaluation of 1-point-RANSAC visual odometry. J. Field Robotics 28(5): 792-811 (2011) - [j8]Stephan Weiss, Davide Scaramuzza, Roland Siegwart:
Monocular-SLAM-based navigation for autonomous micro helicopters in GPS-denied environments. J. Field Robotics 28(6): 854-874 (2011) - [j7]Gabriel Nützi, Stephan Weiss, Davide Scaramuzza, Roland Siegwart:
Fusion of IMU and Vision for Absolute Scale Estimation in Monocular SLAM. J. Intell. Robotic Syst. 61(1-4): 287-299 (2011) - [j6]Stephan Weiss, Markus Achtelik, Laurent Kneip, Davide Scaramuzza, Roland Siegwart:
Intuitive 3D Maps for MAV Terrain Exploration and Obstacle Avoidance. J. Intell. Robotic Syst. 61(1-4): 473-493 (2011) - [j5]Daniel Eberli, Davide Scaramuzza, Stephan Weiss, Roland Siegwart:
Vision Based Position Control for MAVs Using One Single Circular Landmark. J. Intell. Robotic Syst. 61(1-4): 495-512 (2011) - [j4]Davide Scaramuzza, Friedrich Fraundorfer:
Visual Odometry [Tutorial]. IEEE Robotics Autom. Mag. 18(4): 80-92 (2011) - [c22]Laurent Kneip, Davide Scaramuzza, Roland Siegwart:
A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation. CVPR 2011: 2969-2976 - [c21]Laurent Kneip, Agostino Martinelli, Stephan Weiss, Davide Scaramuzza, Roland Siegwart:
Closed-form solution for absolute scale velocity determination combining inertial measurements and a single feature correspondence. ICRA 2011: 4546-4553 - [c20]Lefteris Doitsidis, Alessandro Renzaglia, Stephan Weiss, Elias B. Kosmatopoulos, Davide Scaramuzza, Roland Siegwart:
3D surveillance coverage using maps extracted by a monocular SLAM algorithm. IROS 2011: 1661-1667 - [c19]Davide Scaramuzza, Andrea Censi, Kostas Daniilidis:
Exploiting motion priors in visual odometry for vehicle-mounted cameras with non-holonomic constraints. IROS 2011: 4469-4476 - 2010
- [j3]Davide Scaramuzza, Friedrich Fraundorfer, Marc Pollefeys:
Closing the loop in appearance-guided omnidirectional visual odometry by using vocabulary trees. Robotics Auton. Syst. 58(6): 820-827 (2010) - [c18]Michael Blösch, Stephan Weiss, Davide Scaramuzza, Roland Siegwart:
Vision based MAV navigation in unknown and unstructured environments. ICRA 2010: 21-28 - [c17]Deon George Sabatta, Davide Scaramuzza, Roland Siegwart:
Improved appearance-based matching in similar and dynamic environments using a Vocabulary tree. ICRA 2010: 1008-1013 - [c16]Friedrich Fraundorfer, Davide Scaramuzza, Marc Pollefeys:
A constricted bundle adjustment parameterization for relative scale estimation in visual odometry. ICRA 2010: 1899-1904 - [c15]Simon Zingg, Davide Scaramuzza, Stephan Weiss, Roland Siegwart:
MAV navigation through indoor corridors using optical flow. ICRA 2010: 3361-3368 - [c14]Laurent Kneip, Davide Scaramuzza, Roland Siegwart:
On the initialization of statistical optimum filters with application to motion estimation. IROS 2010: 1500-1506 - [i1]Davide Scaramuzza, Friedrich Fraundorfer, Roland Siegwart:
Real-Time Monocular Visual Odometry for On-Road Vehicles with 1-Point RANSAC. Dynamic Maps 2010
2000 – 2009
- 2009
- [j2]Davide Scaramuzza, Roland Siegwart, Agostino Martinelli:
A Robust Descriptor for Tracking Vertical Lines in Omnidirectional Images and Its Use in Mobile Robotics. Int. J. Robotics Res. 28(2): 149-171 (2009) - [c13]Davide Scaramuzza, Friedrich Fraundorfer, Marc Pollefeys, Roland Siegwart:
Absolute scale in structure from motion from a single vehicle mounted camera by exploiting nonholonomic constraints. ICCV 2009: 1413-1419 - [c12]Davide Scaramuzza, Friedrich Fraundorfer, Roland Siegwart:
Real-time monocular visual odometry for on-road vehicles with 1-point RANSAC. ICRA 2009: 4293-4299 - [c11]Ming Liu, Davide Scaramuzza, Cédric Pradalier, Roland Siegwart, Qijun Chen:
Scene recognition with omnidirectional vision for topological map using lightweight adaptive descriptors. IROS 2009: 116-121 - 2008
- [j1]Davide Scaramuzza, Roland Siegwart:
Appearance-Guided Monocular Omnidirectional Visual Odometry for Outdoor Ground Vehicles. IEEE Trans. Robotics 24(5): 1015-1026 (2008) - [c10]Davide Scaramuzza, Roland Siegwart:
Monocular Omnidirectional Visual Odometry for Outdoor Ground Vehicles. ICVS 2008: 206-215 - [c9]Arnau Ramisa, Shrihari Vasudevan, Davide Scaramuzza, Ramón López de Mántaras, Roland Siegwart:
A Tale of Two Object Recognition Methods for Mobile Robots. ICVS 2008: 353-362 - [c8]Martin Rufli, Davide Scaramuzza, Roland Siegwart:
Automatic detection of checkerboards on blurred and distorted images. IROS 2008: 3121-3126 - [c7]Davide Scaramuzza, Cédric Pradalier, Roland Siegwart:
Performance evaluation of a vertical line descriptor for omnidirectional images. IROS 2008: 3127-3132 - 2007
- [c6]Davide Scaramuzza, Nicolas Criblez, Agostino Martinelli, Roland Siegwart:
Robust Feature Extraction and Matching for Omnidirectional Images. FSR 2007: 71-81 - [c5]Davide Scaramuzza, Ahad Harati, Roland Siegwart:
Extrinsic self calibration of a camera and a 3D laser range finder from natural scenes. IROS 2007: 4164-4169 - 2006
- [c4]Agostino Martinelli, Davide Scaramuzza, Roland Siegwart:
Automatic Self-calibration of a Vision System during Robot Motion. ICRA 2006: 43-48 - [c3]Davide Scaramuzza, Agostino Martinelli, Roland Siegwart:
A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion. ICVS 2006: 45 - [c2]Davide Scaramuzza, Agostino Martinelli, Roland Siegwart:
A Toolbox for Easily Calibrating Omnidirectional Cameras. IROS 2006: 5695-5701 - 2005
- [c1]Davide Scaramuzza, Stefano Pagnottelli, Paolo Valigi:
Ball Detection and Predictive Ball Following Based on a Stereoscopic Vision System. ICRA 2005: 1561-1566
Coauthor Index
Guillermo Gallego 0002
aka: Guillermo Gallego Bonet
aka: Guillermo Gallego Bonet
[j101] [j97] [c160] [c157] [i159] [c148] [c147] [c142] [i146] [i145] [i140] [i138] [i131] [i129] [j83] [j76] [c138] [c136] [c135] [c134] [i121] [i118] [i116] [i114] [i113] [i112] [i100] [j67] [j63] [c129] [c126] [c125] [i95] [i92] [i88] [i87] [i82] [i79] [j60] [j59] [c117] [c115] [c114] [c98] [i59] [i47] [c91] [i42] [i30] [c81] [c77] [i21]
[j96] [j95] [j92] [j91] [c145] [i150] [i143] [i135] [j89] [j87] [j79] [j74] [j71] [c131] [c130] [i122] [i120] [i115] [i103] [i101] [j65] [j64] [j61] [c122] [c121] [c120] [c118] [d1] [i96] [i91] [i89] [i86] [i80] [i78] [i73] [j53] [c116] [c100] [c99] [i56] [i55] [i50] [i49] [c88] [i38] [c82] [i23] [i20] [c61]
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