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ORCIDCyrill Stachniss
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- affiliation: University of Freiburg, Germany
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2020 – today
- 2025
[j102]Pieter M. Blok
, Federico Magistri, Cyrill Stachniss, Haozhou Wang, James Burridge, Wei Guo:
High-throughput 3D shape completion of potato tubers on a harvester. Comput. Electron. Agric. 228: 109673 (2025)- [j101]Matthias Zeller, Daniel Casado Herraez, Bengisu Ayan, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
SemRaFiner: Panoptic Segmentation in Sparse and Noisy Radar Point Clouds. IEEE Robotics Autom. Lett. 10(2): 923-930 (2025) - [c184]Christian Witte, Jens Behley, Cyrill Stachniss, Marvin Raaijmakers:
Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation. WACV 2025: 8660-8669 - [i95]Yibin Wu, Jian Kuang, Xiaoji Niu, Cyrill Stachniss, Lasse Klingbeil, Heiner Kuhlmann:
Wheel-GINS: A GNSS/INS Integrated Navigation System with a Wheel-mounted IMU. CoRR abs/2501.03079 (2025) - [i94]Saurabh Gupta, Tiziano Guadagnino, Benedikt Mersch, Niklas Trekel, Meher V. R. Malladi, Cyrill Stachniss:
Efficiently Closing Loops in LiDAR-Based SLAM Using Point Cloud Density Maps. CoRR abs/2501.07399 (2025) - [i93]Hao Dong, Moru Liu, Kaiyang Zhou, Eleni N. Chatzi, Juho Kannala, Cyrill Stachniss, Olga Fink:
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models. CoRR abs/2501.18592 (2025) - [i92]Yue Pan, Xingguang Zhong, Liren Jin, Louis Wiesmann, Marija Popovic, Jens Behley, Cyrill Stachniss:
PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map. CoRR abs/2502.05752 (2025) - [i91]Rajitha de Silva, Jonathan Cox, Marija Popovic, Cesar Cadena, Cyrill Stachniss, Riccardo Polvara:
Keypoint Semantic Integration for Improved Feature Matching in Outdoor Agricultural Environments. CoRR abs/2503.08843 (2025) - [i90]Tiziano Guadagnino, Benedikt Mersch, Saurabh Gupta, Ignacio Vizzo, Giorgio Grisetti, Cyrill Stachniss:
KISS-SLAM: A Simple, Robust, and Accurate 3D LiDAR SLAM System With Enhanced Generalization Capabilities. CoRR abs/2503.12660 (2025) - [i89]Matteo Sodano, Federico Magistri, Elias Marks, Fares Hosn, Aibek Zurbayev, Rodrigo Marcuzzi, Meher V. R. Malladi, Jens Behley, Cyrill Stachniss:
3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors. CoRR abs/2503.13188 (2025) - [i88]Lucas Nunes, Rodrigo Marcuzzi, Jens Behley, Cyrill Stachniss:
Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving. CoRR abs/2503.21449 (2025) - [i87]Haofei Kuang, Yue Pan, Xingguang Zhong, Louis Wiesmann, Jens Behley, Cyrill Stachniss:
Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation. CoRR abs/2503.23480 (2025) - 2024
- [j100]Huan Yin, Xuecheng Xu, Sha Lu, Xieyuanli Chen, Rong Xiong, Shaojie Shen, Cyrill Stachniss, Yue Wang:
A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems. Int. J. Comput. Vis. 132(8): 3139-3171 (2024) - [j99]Jan Weyler, Federico Magistri, Elias Marks, Yue Linn Chong, Matteo Sodano, Gianmarco Roggiolani, Nived Chebrolu, Cyrill Stachniss, Jens Behley:
PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9583-9594 (2024) - [j98]Claus Smitt, Michael Halstead, Patrick Zimmer, Thomas Läbe, Esra Guclu, Cyrill Stachniss, Chris McCool:
PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics. IEEE Robotics Autom. Lett. 9(1): 907-914 (2024) - [j97]Jan Weyler, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Panoptic Segmentation With Partial Annotations for Agricultural Robots. IEEE Robotics Autom. Lett. 9(2): 1660-1667 (2024) - [j96]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning. IEEE Robotics Autom. Lett. 9(3): 2662-2669 (2024) - [j95]Ibrahim Hroob, Benedikt Mersch, Cyrill Stachniss, Marc Hanheide:
Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization. IEEE Robotics Autom. Lett. 9(4): 3546-3553 (2024) - [j94]Federico Magistri, Yue Pan, Jake Bartels, Jens Behley, Cyrill Stachniss, Chris Lehnert:
Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion. IEEE Robotics Autom. Lett. 9(8): 7357-7364 (2024) - [j93]Apoorva Vashisth, Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Deep Reinforcement Learning With Dynamic Graphs for Adaptive Informative Path Planning. IEEE Robotics Autom. Lett. 9(9): 7747-7754 (2024) - [j92]Daniel Casado Herraez, Le Chang, Matthias Zeller, Louis Wiesmann, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
SPR: Single-Scan Radar Place Recognition. IEEE Robotics Autom. Lett. 9(10): 9079-9086 (2024) - [j91]Louis Wiesmann, Thomas Läbe, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment. IEEE Robotics Autom. Lett. 9(10): 9103-9110 (2024) - [j90]Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds. IEEE Trans. Robotics 40: 2357-2372 (2024) - [j89]Yue Pan, Xingguang Zhong, Louis Wiesmann, Thorbjörn Posewsky, Jens Behley, Cyrill Stachniss:
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency. IEEE Trans. Robotics 40: 4045-4064 (2024) - [c183]Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Open-World Semantic Segmentation Including Class Similarity. CVPR 2024: 3184-3194 - [c182]Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss:
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. CVPR 2024: 14770-14780 - [c181]Xingguang Zhong, Yue Pan, Cyrill Stachniss, Jens Behley:
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation. CVPR 2024: 15417-15427 - [c180]Federico Magistri, Rodrigo Marcuzzi, Elias Marks, Matteo Sodano, Jens Behley, Cyrill Stachniss:
Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots. ICRA 2024: 8657-8663 - [c179]Saurabh Gupta, Tiziano Guadagnino, Benedikt Mersch, Ignacio Vizzo, Cyrill Stachniss:
Effectively Detecting Loop Closures using Point Cloud Density Maps. ICRA 2024: 10260-10266 - [c178]Daniel Casado Herraez, Matthias Zeller, Le Chang, Ignacio Vizzo, Michael Heidingsfeld, Cyrill Stachniss:
Radar-Only Odometry and Mapping for Autonomous Vehicles. ICRA 2024: 10275-10282 - [c177]Yibin Wu, Tiziano Guadagnino, Louis Wiesmann, Lasse Klingbeil, Cyrill Stachniss, Heiner Kuhlmann:
LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters. ICRA 2024: 13741-13747 - [c176]Matthias Zeller, Daniel Casado Herraez, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds. ICRA 2024: 16170-16177 - [c175]Meher V. R. Malladi, Tiziano Guadagnino, Luca Lobefaro, Matías Mattamala, Holger Griess, Janine Schweier, Nived Chebrolu, Maurice F. Fallon, Jens Behley, Cyrill Stachniss:
Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots. ICRA 2024: 17933-17940 - [c174]Liren Jin, Haofei Kuang, Yue Pan, Cyrill Stachniss, Marija Popovic:
STAIR: Semantic-Targeted Active Implicit Reconstruction. IROS 2024: 395-402 - [c173]Elias Marks, Jonas Bömer, Federico Magistri, Anurag Sag, Jens Behley, Cyrill Stachniss:
BonnBeetClouds3D: A Dataset Towards Point Cloud-Based Organ-Level Phenotyping of Sugar Beet Plants Under Real Field Conditions. IROS 2024: 1804-1811 - [c172]Luca Lobefaro, Meher V. R. Malladi, Tiziano Guadagnino, Cyrill Stachniss:
Spatio-Temporal Consistent Mapping of Growing Plants for Agricultural Robots in the Wild. IROS 2024: 6375-6382 - [c171]Robert Schirmer, Narunas Vaskevicius, Peter Biber, Cyrill Stachniss:
Fast Global Point Cloud Registration using Semantic NDT. IROS 2024: 8831-8838 - [c170]Balázs Opra, Betty Le Dem, Jeffrey M. Walls, Dimitar Lukarski, Cyrill Stachniss:
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation. IROS 2024: 12808-12815 - [c169]Sicong Pan, Liren Jin, Xuying Huang, Cyrill Stachniss, Marija Popovic, Maren Bennewitz:
Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning. IROS 2024: 13341-13348 - [c168]Hyungtae Lim, Seoyeon Jang, Benedikt Mersch, Jens Behley, Hyun Myung, Cyrill Stachniss:
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors. IROS 2024: 14087-14094 - [i86]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Unsupervised Pre-Training for 3D Leaf Instance Segmentation. CoRR abs/2401.08720 (2024) - [i85]Yue Pan, Xingguang Zhong, Louis Wiesmann, Thorbjörn Posewsky, Jens Behley, Cyrill Stachniss:
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency. CoRR abs/2401.09101 (2024) - [i84]Apoorva Vashisth, Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning. CoRR abs/2402.04894 (2024) - [i83]Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Open-World Semantic Segmentation Including Class Similarity. CoRR abs/2403.07532 (2024) - [i82]Liren Jin, Haofei Kuang, Yue Pan, Cyrill Stachniss, Marija Popovic:
STAIR: Semantic-Targeted Active Implicit Reconstruction. CoRR abs/2403.11233 (2024) - [i81]Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss:
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. CoRR abs/2403.13470 (2024) - [i80]Sicong Pan, Liren Jin, Xuying Huang, Cyrill Stachniss, Marija Popovic, Maren Bennewitz:
Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning. CoRR abs/2403.16803 (2024) - [i79]Xingguang Zhong, Yue Pan, Cyrill Stachniss, Jens Behley:
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation. CoRR abs/2405.03388 (2024) - [i78]Federico Magistri, Thomas Läbe, Elias Marks, Sumanth Nagulavancha, Yue Pan, Claus Smitt, Lasse Klingbeil, Michael Halstead, Heiner Kuhlmann, Chris McCool, Jens Behley, Cyrill Stachniss:
A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics. CoRR abs/2407.13304 (2024) - [i77]Pieter M. Blok, Federico Magistri, Cyrill Stachniss, Haozhou Wang, James Burridge, Wei Guo:
High-throughput 3D shape completion of potato tubers on a harvester. CoRR abs/2407.21341 (2024) - [i76]Balázs Opra, Betty Le Dem, Jeffrey M. Walls, Dimitar Lukarski, Cyrill Stachniss:
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation. CoRR abs/2408.01640 (2024) - [i75]Hyungtae Lim, Seoyeon Jang, Benedikt Mersch, Jens Behley, Hyun Myung, Cyrill Stachniss:
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors. CoRR abs/2408.06328 (2024) - [i74]Tiziano Guadagnino, Benedikt Mersch, Ignacio Vizzo, Saurabh Gupta, Meher V. R. Malladi, Luca Lobefaro, Guillaume Doisy, Cyrill Stachniss:
Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces. CoRR abs/2410.10277 (2024) - [i73]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Active Learning of Robot Vision Using Adaptive Path Planning. CoRR abs/2410.10684 (2024) - [i72]Arun Narenthiran Sivakumar, Federico Magistri, Mateus Valverde Gasparino, Jens Behley, Cyrill Stachniss, Girish Chowdhary:
AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation. CoRR abs/2410.12411 (2024) - [i71]Julius Rückin, David Morilla-Cabello, Cyrill Stachniss, Eduardo Montijano, Marija Popovic:
Towards Map-Agnostic Policies for Adaptive Informative Path Planning. CoRR abs/2410.17166 (2024) - [i70]Daniel Fusaro, Federico Magistri, Jens Behley, Alberto Pretto, Cyrill Stachniss:
Horticultural Temporal Fruit Monitoring via 3D Instance Segmentation and Re-Identification using Point Clouds. CoRR abs/2411.07799 (2024) - [i69]Christian Witte, Jens Behley, Cyrill Stachniss, Marvin Raaijmakers:
Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation. CoRR abs/2412.01595 (2024) - [i68]Louis Wiesmann, Elias Marks, Saurabh Gupta, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories. CoRR abs/2412.11760 (2024) - [i67]Matteo Sodano, Federico Magistri, Jens Behley, Cyrill Stachniss:
Open-World Panoptic Segmentation. CoRR abs/2412.12740 (2024) - [i66]Liren Jin, Xingguang Zhong, Yue Pan, Jens Behley, Cyrill Stachniss, Marija Popovic:
ActiveGS: Active Scene Reconstruction using Gaussian Splatting. CoRR abs/2412.17769 (2024) - 2023
- [j88]Federico Magistri, Jan Weyler, Dario Gogoll, Philipp Lottes, Jens Behley, Nik Petrinic, Cyrill Stachniss:
From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics. Comput. Electron. Agric. 212: 108114 (2023) - [j87]Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil:
Online and offline learning of player objectives from partial observations in dynamic games. Int. J. Robotics Res. 42(10): 917-937 (2023) - [j86]Clara Gómez, Alejandra C. Hernández, Ramón Barber, Cyrill Stachniss:
Localization Exploiting Semantic and Metric Information in Non-static Indoor Environments. J. Intell. Robotic Syst. 109(4): 86 (2023) - [j85]Joachim Hertzberg, Benjamin Kisliuk, Jan Christoph Krause, Cyrill Stachniss:
Interview: Cyrill Stachniss' View on AI in Agriculture. Künstliche Intell. 37(2): 133-141 (2023) - [j84]Nicky Zimmerman, Tiziano Guadagnino, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Long-Term Localization Using Semantic Cues in Floor Plan Maps. IEEE Robotics Autom. Lett. 8(1): 176-183 (2023) - [j83]Matthias Zeller, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data. IEEE Robotics Autom. Lett. 8(1): 344-351 (2023) - [j82]Louis Wiesmann, Lucas Nunes, Jens Behley, Cyrill Stachniss:
KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition. IEEE Robotics Autom. Lett. 8(2): 592-599 (2023) - [j81]Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Louis Wiesmann, Jens Behley, Cyrill Stachniss:
KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way. IEEE Robotics Autom. Lett. 8(2): 1029-1036 (2023) - [j80]Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Jens Behley, Cyrill Stachniss:
Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving. IEEE Robotics Autom. Lett. 8(2): 1141-1148 (2023) - [j79]Haofei Kuang, Xieyuanli Chen, Tiziano Guadagnino, Nicky Zimmerman, Jens Behley, Cyrill Stachniss:
IR-MCL: Implicit Representation-Based Online Global Localization. IEEE Robotics Autom. Lett. 8(3): 1627-1634 (2023) - [j78]Jan Weyler, Thomas Läbe, Federico Magistri, Jens Behley, Cyrill Stachniss:
Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots. IEEE Robotics Autom. Lett. 8(6): 3310-3317 (2023) - [j77]Elias Marks, Matteo Sodano, Federico Magistri, Louis Wiesmann, Dhagash Desai, Rodrigo Marcuzzi, Jens Behley, Cyrill Stachniss:
High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions. IEEE Robotics Autom. Lett. 8(8): 4791-4798 (2023) - [j76]Louis Wiesmann, Tiziano Guadagnino, Ignacio Vizzo, Nicky Zimmerman, Yue Pan, Haofei Kuang, Jens Behley, Cyrill Stachniss:
LocNDF: Neural Distance Field Mapping for Robot Localization. IEEE Robotics Autom. Lett. 8(8): 4999-5006 (2023) - [j75]Benedikt Mersch, Tiziano Guadagnino, Xieyuanli Chen, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation. IEEE Robotics Autom. Lett. 8(8): 5180-5187 (2023) - [j74]Yue Linn Chong, Jan Weyler, Philipp Lottes, Jens Behley, Cyrill Stachniss:
Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms. IEEE Robotics Autom. Lett. 8(8): 5259-5266 (2023) - [j73]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Unsupervised Pre-Training for 3D Leaf Instance Segmentation. IEEE Robotics Autom. Lett. 8(11): 7448-7455 (2023) - [j72]Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Elias Marks, Jens Behley, Cyrill Stachniss:
Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences. IEEE Robotics Autom. Lett. 8(11): 7487-7494 (2023) - [j71]Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss:
Online pole segmentation on range images for long-term LiDAR localization in urban environments. Robotics Auton. Syst. 159: 104283 (2023) - [j70]Mehul Arora, Louis Wiesmann, Xieyuanli Chen, Cyrill Stachniss:
Static map generation from 3D LiDAR point clouds exploiting ground segmentation. Robotics Auton. Syst. 159: 104287 (2023) - [j69]Felix Stache, Jonas Westheider, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Adaptive path planning for UAVs for multi-resolution semantic segmentation. Robotics Auton. Syst. 159: 104288 (2023) - [j68]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
An Informative Path Planning Framework for Active Learning in UAV-Based Semantic Mapping. IEEE Trans. Robotics 39(6): 4279-4296 (2023) - [c167]Lucas Nunes, Louis Wiesmann, Rodrigo Marcuzzi, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving. CVPR 2023: 5217-5228 - [c166]Hanna Müller, Nicky Zimmerman, Tommaso Polonelli, Michele Magno, Jens Behley, Cyrill Stachniss, Luca Benini:
Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs. DATE 2023: 1-6 - [c165]Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Robust Double-Encoder Network for RGB-D Panoptic Segmentation. ICRA 2023: 4953-4959 - [c164]Hao Dong, Xieyuanli Chen, Mihai Dusmanu, Viktor Larsson, Marc Pollefeys, Cyrill Stachniss:
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors. ICRA 2023: 6189-6195 - [c163]Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds. ICRA 2023: 7054-7061 - [c162]Xingguang Zhong, Yue Pan, Jens Behley, Cyrill Stachniss:
SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations. ICRA 2023: 8371-8377 - [c161]Gianmarco Roggiolani, Matteo Sodano, Tiziano Guadagnino, Federico Magistri, Jens Behley, Cyrill Stachniss:
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain. ICRA 2023: 9601-9607 - [c160]Shane Kelly, Alessandro Riccardi, Elias Marks, Federico Magistri, Tiziano Guadagnino, Margarita Chli, Cyrill Stachniss:
Target-Aware Implicit Mapping for Agricultural Crop Inspection. ICRA 2023: 9608-9614 - [c159]Alessandro Riccardi, Shane Kelly, Elias Marks, Federico Magistri, Tiziano Guadagnino, Jens Behley, Maren Bennewitz, Cyrill Stachniss:
Fruit Tracking Over Time Using High-Precision Point Clouds. ICRA 2023: 9630-9636 - [c158]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jan Weyler, Giorgio Grisetti, Cyrill Stachniss, Jens Behley:
On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics. ICRA 2023: 11786-11793 - [c157]Nicky Zimmerman, Matteo Sodano, Elias Marks, Jens Behley, Cyrill Stachniss:
Constructing Metric-Semantic Maps Using Floor Plan Priors for Long-Term Indoor Localization. IROS 2023: 1366-1372 - [c156]Luca Lobefaro, Meher V. R. Malladi, Olga Vysotska, Tiziano Guadagnino, Cyrill Stachniss:
Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots. IROS 2023: 4212-4218 - [c155]Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool, Jens Behley, Cyrill Stachniss:
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. IROS 2023: 4226-4233 - [c154]Yash Goel, Narunas Vaskevicius, Luigi Palmieri, Nived Chebrolu, Kai O. Arras, Cyrill Stachniss:
Semantically Informed MPC for Context-Aware Robot Exploration. IROS 2023: 11218-11225 - [c153]Ignacio Vizzo, Benedikt Mersch, Lucas Nunes, Louis Wiesmann, Tiziano Guadagnino, Cyrill Stachniss:
Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition. ITSC 2023: 5838-5845 - [c152]Hyungtae Lim, Lucas Nunes, Benedikt Mersch, Xieyuanli Chen, Jens Behley, Hyun Myung, Cyrill Stachniss:
ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes. Robotics: Science and Systems 2023 - [i65]Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil:
Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations. CoRR abs/2302.01999 (2023) - [i64]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping. CoRR abs/2302.03347 (2023) - [i63]Huan Yin, Xuecheng Xu, Sha Lu, Xieyuanli Chen, Rong Xiong, Shaojie Shen, Cyrill Stachniss, Yue Wang:
A Survey on Global LiDAR Localization. CoRR abs/2302.07433 (2023) - [i62]Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool, Jens Behley, Cyrill Stachniss:
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. CoRR abs/2303.08923 (2023) - [i61]Nicky Zimmerman, Matteo Sodano, Elias Marks, Jens Behley, Cyrill Stachniss:
Long-Term Indoor Localization with Metric-Semantic Mapping using a Floor Plan Prior. CoRR abs/2303.10959 (2023) - [i60]Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jan Weyler, Giorgio Grisetti, Cyrill Stachniss, Jens Behley:
On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics. CoRR abs/2303.12499 (2023) - [i59]Jan Weyler, Federico Magistri, Elias Marks, Yue Linn Chong, Matteo Sodano, Gianmarco Roggiolani, Nived Chebrolu, Cyrill Stachniss, Jens Behley:
PhenoBench - A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain. CoRR abs/2306.04557 (2023) - [i58]Benedikt Mersch, Tiziano Guadagnino, Xieyuanli Chen, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation. CoRR abs/2307.08314 (2023) - [i57]Claus Smitt, Michael Halstead, Patrick Zimmer, Thomas Läbe, Esra Guclu, Cyrill Stachniss, Chris McCool:
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics. CoRR abs/2309.05339 (2023) - [i56]Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds. CoRR abs/2309.16435 (2023) - [i55]Yibin Wu, Tiziano Guadagnino, Louis Wiesmann, Lasse Klingbeil, Cyrill Stachniss, Heiner Kuhlmann:
LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters. CoRR abs/2311.09887 (2023) - [i54]Ribana Roscher, Lukas Roth, Cyrill Stachniss, Achim Walter:
Data-Centric Digital Agriculture: A Perspective. CoRR abs/2312.03437 (2023) - [i53]Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning. CoRR abs/2312.04402 (2023) - [i52]Elias Marks, Jonas Bömer, Federico Magistri, Anurag Sag, Jens Behley, Cyrill Stachniss:
BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions. CoRR abs/2312.14706 (2023) - 2022
- [j67]Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Jens Behley, Cyrill Stachniss:
OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization. Auton. Robots 46(1): 61-81 (2022) - [j66]Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall:
Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform. IEEE Robotics Autom. Lett. 7(2): 738-745 (2022) - [j65]Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans. IEEE Robotics Autom. Lett. 7(2): 1550-1557 (2022) - [j64]Lucas Nunes, Rodrigo Marcuzzi, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination. IEEE Robotics Autom. Lett. 7(2): 2116-2123 (2022) - [j63]Jan Weyler, Jan Quakernack, Philipp Lottes, Jens Behley, Cyrill Stachniss:
Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery. IEEE Robotics Autom. Lett. 7(2): 3787-3794 (2022) - [j62]Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation. IEEE Robotics Autom. Lett. 7(3): 6107-6114 (2022) - [j61]Louis Wiesmann, Tiziano Guadagnino, Ignacio Vizzo, Giorgio Grisetti, Jens Behley, Cyrill Stachniss:
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments. IEEE Robotics Autom. Lett. 7(3): 6327-6334 (2022) - [j60]Benedikt Mersch, Xieyuanli Chen, Ignacio Vizzo, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. IEEE Robotics Autom. Lett. 7(3): 7503-7510 (2022) - [j59]Tiziano Guadagnino, Xieyuanli Chen, Matteo Sodano, Jens Behley, Giorgio Grisetti, Cyrill Stachniss:
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images. IEEE Robotics Autom. Lett. 7(3): 7597-7604 (2022) - [j58]Ignacio Vizzo, Benedikt Mersch, Rodrigo Marcuzzi, Louis Wiesmann, Jens Behley, Cyrill Stachniss:
Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments. IEEE Robotics Autom. Lett. 7(3): 8534-8541 (2022) - [j57]Lucas Nunes, Xieyuanli Chen, Rodrigo Marcuzzi, Aljosa Osep, Laura Leal-Taixé, Cyrill Stachniss, Jens Behley:
Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles. IEEE Robotics Autom. Lett. 7(4): 8713-8720 (2022) - [j56]Federico Magistri, Elias Marks, Sumanth Nagulavancha, Ignacio Vizzo, Thomas Läbe, Jens Behley, Michael Halstead, Chris McCool, Cyrill Stachniss:
Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames. IEEE Robotics Autom. Lett. 7(4): 10120-10127 (2022) - [j55]Ignacio Vizzo, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data. Sensors 22(3): 1296 (2022) - [c151]Elias Marks, Federico Magistri, Cyrill Stachniss:
Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching. ICRA 2022: 2259-2265 - [c150]Louis Wiesmann, Rodrigo Marcuzzi, Cyrill Stachniss, Jens Behley:
Retriever: Point Cloud Retrieval in Compressed 3D Maps. ICRA 2022: 10925-10932 - [c149]Nicky Zimmerman, Louis Wiesmann, Tiziano Guadagnino, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Robust Onboard Localization in Changing Environments Exploiting Text Spotting. IROS 2022: 917-924 - [c148]Jingtao Sun, Yaonan Wang, Mingtao Feng, Danwei Wang, Jiawen Zhao, Cyrill Stachniss, Xieyuanli Chen:
ICK-Track: A Category-Level 6-DoF Pose Tracker Using Inter-Frame Consistent Keypoints for Aerial Manipulation. IROS 2022: 1556-1563 - [c147]Yue Pan, Yves Kompis, Luca Bartolomei, Ruben Mascaro, Cyrill Stachniss, Margarita Chli:
Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction. IROS 2022: 5331-5338 - [c146]Luca Di Giammarino, Leonardo Brizi, Tiziano Guadagnino, Cyrill Stachniss, Giorgio Grisetti:
MD-SLAM: Multi-cue Direct SLAM. IROS 2022: 11047-11054 - [c145]Julius Rückin, Liren Jin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Informative Path Planning for Active Learning in Aerial Semantic Mapping. IROS 2022: 11932-11939 - [c144]Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine:
Learning Mixed Strategies in Trajectory Games. Robotics: Science and Systems 2022 - [c143]Jan Weyler, Federico Magistri, Peter Seitz, Jens Behley, Cyrill Stachniss:
In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation. WACV 2022: 2968-2977 - [i51]Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation. CoRR abs/2201.04501 (2022) - [i50]Felix Stache, Jonas Westheider, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Adaptive Path Planning for UAVs for Multi-Resolution Semantic Segmentation. CoRR abs/2203.01642 (2022) - [i49]Julius Rückin, Liren Jin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Informative Path Planning for Active Learning in Aerial Semantic Mapping. CoRR abs/2203.01652 (2022) - [i48]Junyi Ma, Jun Zhang, Jintao Xu, Rui Ai, Weihao Gu, Cyrill Stachniss, Xieyuanli Chen:
OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition. CoRR abs/2203.03397 (2022) - [i47]Carlos Carbone, Dario Albani, Federico Magistri, Dimitri Ognibene, Cyrill Stachniss, Gert Kootstra, Daniele Nardi, Vito Trianni:
Monitoring and mapping of crop fields with UAV swarms based on information gain. CoRR abs/2203.11766 (2022) - [i46]Nicky Zimmerman, Louis Wiesmann, Tiziano Guadagnino, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Robust Onboard Localization in Changing Environments Exploiting Text Spotting. CoRR abs/2203.12647 (2022) - [i45]Luca Di Giammarino, Leonardo Brizi, Tiziano Guadagnino, Cyrill Stachniss, Giorgio Grisetti:
MD-SLAM: Multi-cue Direct SLAM. CoRR abs/2203.13237 (2022) - [i44]Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine:
Learning Mixed Strategies in Trajectory Games. CoRR abs/2205.00291 (2022) - [i43]Benedikt Mersch, Xieyuanli Chen, Ignacio Vizzo, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. CoRR abs/2206.04129 (2022) - [i42]Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss:
Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments. CoRR abs/2208.07364 (2022) - [i41]Hao Dong, Xieyuanli Chen, Mihai Dusmanu, Viktor Larsson, Marc Pollefeys, Cyrill Stachniss:
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors. CoRR abs/2209.13586 (2022) - [i40]Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Louis Wiesmann, Jens Behley, Cyrill Stachniss:
KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way. CoRR abs/2209.15397 (2022) - [i39]Nicky Zimmerman, Tiziano Guadagnino, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Long-Term Localization using Semantic Cues in Floor Plan Maps. CoRR abs/2210.01456 (2022) - [i38]Xingguang Zhong, Yue Pan, Jens Behley, Cyrill Stachniss:
SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations. CoRR abs/2210.02299 (2022) - [i37]Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss:
Robust Double-Encoder Network for RGB-D Panoptic Segmentation. CoRR abs/2210.02834 (2022) - [i36]Haofei Kuang, Xieyuanli Chen, Tiziano Guadagnino, Nicky Zimmerman, Jens Behley, Cyrill Stachniss:
IR-MCL: Implicit Representation-Based Online Global Localization. CoRR abs/2210.03113 (2022) - [i35]Gianmarco Roggiolani, Matteo Sodano, Tiziano Guadagnino, Federico Magistri, Jens Behley, Cyrill Stachniss:
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain. CoRR abs/2210.07879 (2022) - [i34]Yash Goel, Narunas Vaskevicius, Luigi Palmieri, Nived Chebrolu, Cyrill Stachniss:
Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation. CoRR abs/2210.08952 (2022) - [i33]Matthias Zeller, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data. CoRR abs/2212.03690 (2022) - 2021
- [j54]Abel Barreto, Philipp Lottes, Facundo Ramón Ispizua Yamati, Stephen Baumgarten, Nina Anastasia Wolf, Cyrill Stachniss, Anne-Katrin Mahlein, Stefan Paulus:
Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry. Comput. Electron. Agric. 191: 106493 (2021) - [j53]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Jürgen Gall, Cyrill Stachniss:
Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset. Int. J. Robotics Res. 40(8-9) (2021) - [j52]Louis Wiesmann, Andres Milioto, Xieyuanli Chen, Cyrill Stachniss, Jens Behley:
Deep Compression for Dense Point Cloud Maps. IEEE Robotics Autom. Lett. 6(2): 2060-2067 (2021) - [j51]Nived Chebrolu, Thomas Läbe, Olga Vysotska, Jens Behley, Cyrill Stachniss:
Adaptive Robust Kernels for Non-Linear Least Squares Problems. IEEE Robotics Autom. Lett. 6(2): 2240-2247 (2021) - [j50]Jan Weyler, Andres Milioto, Tillmann Falck, Jens Behley, Cyrill Stachniss:
Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping. IEEE Robotics Autom. Lett. 6(2): 3599-3606 (2021) - [j49]Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss:
Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data. IEEE Robotics Autom. Lett. 6(4): 6529-6536 (2021) - [j48]Chenghao Shi, Xieyuanli Chen, Kaihong Huang, Junhao Xiao, Huimin Lu, Cyrill Stachniss:
Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks. IEEE Robotics Autom. Lett. 6(4): 8221-8228 (2021) - [j47]Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Veronika Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. IEEE Robotics Autom. Mag. 28(3): 29-49 (2021) - [c142]Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRL 2021: 1444-1454 - [c141]Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CVPR 2021: 5527-5537 - [c140]Carlos Carbone, Dario Albani, Federico Magistri, Dimitri Ognibene, Cyrill Stachniss, Gert Kootstra, Daniele Nardi, Vito Trianni:
Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain. DARS 2021: 306-319 - [c139]Mehul Arora, Louis Wiesmann, Xieyuanli Chen, Cyrill Stachniss:
Mapping the Static Parts of Dynamic Scenes from 3D LiDAR Point Clouds Exploiting Ground Segmentation. ECMR 2021: 1-6 - [c138]Hao Dong, Xieyuanli Chen, Cyrill Stachniss:
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments. ECMR 2021: 1-6 - [c137]Felix Stache, Jonas Westheider, Federico Magistri, Marija Popovic, Cyrill Stachniss:
Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation. ECMR 2021: 1-6 - [c136]Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li:
Video Contrastive Learning with Global Context. ICCVW 2021: 3188 - [c135]Ignacio Vizzo, Xieyuanli Chen, Nived Chebrolu, Jens Behley, Cyrill Stachniss:
Poisson Surface Reconstruction for LiDAR Odometry and Mapping. ICRA 2021: 5624-5630 - [c134]Xieyuanli Chen, Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Range Image-based LiDAR Localization for Autonomous Vehicles. ICRA 2021: 5802-5808 - [c133]Andrzej Reinke, Xieyuanli Chen, Cyrill Stachniss:
Simple But Effective Redundant Odometry for Autonomous Vehicles. ICRA 2021: 9631-9637 - [c132]Jens Behley, Andres Milioto, Cyrill Stachniss:
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. ICRA 2021: 13596-13603 - [c131]Federico Magistri, Nived Chebrolu, Jens Behley, Cyrill Stachniss:
Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss. ICRA 2021: 13960-13966 - [c130]Luca Di Giammarino, Irvin Aloise, Cyrill Stachniss, Giorgio Grisetti:
Visual Place Recognition using LiDAR Intensity Information. IROS 2021: 4382-4389 - [c129]Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher:
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. IROS 2021: 4888-4895 - [c128]Mengjie Zhou, Xieyuanli Chen, Noe Samano, Cyrill Stachniss, Andrew Calway:
Efficient Localisation Using Images and OpenStreetMaps. IROS 2021: 5507-5513 - [c127]Peter Rottmann, Thorbjörn Posewsky, Andres Milioto, Cyrill Stachniss, Jens Behley:
Improving Monocular Depth Estimation by Semantic Pre-training. IROS 2021: 5916-5923 - [c126]Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss:
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. Robotics: Science and Systems 2021 - [i32]Mehmet Aygün, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CoRR abs/2102.12472 (2021) - [i31]Luca Di Giammarino, Irvin Aloise, Cyrill Stachniss, Giorgio Grisetti:
Visual Place Recognition using LiDAR Intensity Information. CoRR abs/2103.09605 (2021) - [i30]Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss:
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data. CoRR abs/2105.08971 (2021) - [i29]Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss:
SuMa++: Efficient LiDAR-based Semantic SLAM. CoRR abs/2105.11320 (2021) - [i28]Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss:
OverlapNet: Loop Closing for LiDAR-based SLAM. CoRR abs/2105.11344 (2021) - [i27]Xieyuanli Chen, Thomas Läbe, Lorenzo Nardi, Jens Behley, Cyrill Stachniss:
Learning an Overlap-based Observation Model for 3D LiDAR Localization. CoRR abs/2105.11717 (2021) - [i26]Andrzej Reinke, Xieyuanli Chen, Cyrill Stachniss:
Simple But Effective Redundant Odometry for Autonomous Vehicles. CoRR abs/2105.11783 (2021) - [i25]Xieyuanli Chen, Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Range Image-based LiDAR Localization for Autonomous Vehicles. CoRR abs/2105.12121 (2021) - [i24]Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss:
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. CoRR abs/2106.03611 (2021) - [i23]Felix Stache, Jonas Westheider, Federico Magistri, Marija Popovic, Cyrill Stachniss:
Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation. CoRR abs/2108.01884 (2021) - [i22]Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li:
Video Contrastive Learning with Global Context. CoRR abs/2108.02722 (2021) - [i21]Hao Dong, Xieyuanli Chen, Cyrill Stachniss:
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments. CoRR abs/2108.08621 (2021) - [i20]Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher:
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. CoRR abs/2109.07365 (2021) - [i19]Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRR abs/2110.04076 (2021) - 2020
- [j46]Peter Regier, Andres Milioto, Cyrill Stachniss, Maren Bennewitz:
Classifying Obstacles and Exploiting Class Information for Humanoid Navigation Through Cluttered Environments. Int. J. Humanoid Robotics 17(2): 2050013:1-2050013:26 (2020) - [j45]Chris Lehnert, Chris McCool, Peter Corke, Inkyu Sa, Cyrill Stachniss, Eldert J. van Henten, Juan I. Nieto:
Special issue on agricultural robotics. J. Field Robotics 37(1): 5-6 (2020) - [j44]Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss:
Robust joint stem detection and crop-weed classification using image sequences for plant-specific treatment in precision farming. J. Field Robotics 37(1): 20-34 (2020) - [j43]Chris Lehnert, Chris McCool, Cyrill Stachniss, Peter Corke, Inkyu Sa, Juan I. Nieto, Eldert J. van Henten:
JFR special issue on agricultural robotics, part 2. J. Field Robotics 37(2): 185-186 (2020) - [j42]Xiaolong Wu, Stéphanie Aravecchia, Philipp Lottes, Cyrill Stachniss, Cédric Pradalier:
Robotic weed control using automated weed and crop classification. J. Field Robotics 37(2): 322-340 (2020) - [c125]Jan Quenzel, Radu Alexandru Rosu, Thomas Läbe, Cyrill Stachniss, Sven Behnke:
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching. ICRA 2020: 272-278 - [c124]Lorenzo Nardi, Cyrill Stachniss:
Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes. ICRA 2020: 300-306 - [c123]Rasha Sheikh, Andres Milioto, Philipp Lottes, Cyrill Stachniss, Maren Bennewitz, Thomas Schultz:
Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots. ICRA 2020: 1350-1356 - [c122]Nived Chebrolu, Thomas Läbe, Cyrill Stachniss:
Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants. ICRA 2020: 3112-3118 - [c121]Alireza Ahmadi, Lorenzo Nardi, Nived Chebrolu, Cyrill Stachniss:
Visual Servoing-based Navigation for Monitoring Row-Crop Fields. ICRA 2020: 4920-4926 - [c120]Federico Magistri, Nived Chebrolu, Cyrill Stachniss:
Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping. IROS 2020: 2433-2439 - [c119]Dario Gogoll, Philipp Lottes, Jan Weyler, Nik Petrinic, Cyrill Stachniss:
Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots. IROS 2020: 2636-2642 - [c118]Xieyuanli Chen, Thomas Läbe, Lorenzo Nardi, Jens Behley, Cyrill Stachniss:
Learning an Overlap-based Observation Model for 3D LiDAR Localization. IROS 2020: 4602-4608 - [c117]Ferdinand Langer, Andres Milioto, Alexandre Haag, Jens Behley, Cyrill Stachniss:
Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks. IROS 2020: 8263-8270 - [c116]Andres Milioto, Jens Behley, Chris McCool, Cyrill Stachniss:
LiDAR Panoptic Segmentation for Autonomous Driving. IROS 2020: 8505-8512 - [c115]Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss:
OverlapNet: Loop Closing for LiDAR-based SLAM. Robotics: Science and Systems 2020 - [i18]Jens Behley, Andres Milioto, Cyrill Stachniss:
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. CoRR abs/2003.02371 (2020) - [i17]Jan Quenzel, Radu Alexandru Rosu, Thomas Läbe, Cyrill Stachniss, Sven Behnke:
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching. CoRR abs/2004.04090 (2020) - [i16]Nived Chebrolu, Thomas Läbe, Olga Vysotska, Jens Behley, Cyrill Stachniss:
Adaptive Robust Kernels for Non-Linear Least Squares Problems. CoRR abs/2004.14938 (2020) - [i15]Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall:
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform. CoRR abs/2008.09162 (2020)
2010 – 2019
- 2019
- [j41]Olga Vysotska, Cyrill Stachniss:
Effective Visual Place Recognition Using Multi-Sequence Maps. IEEE Robotics Autom. Lett. 4(2): 1730-1736 (2019) - [c114]Fan Yan, Olga Vysotska, Cyrill Stachniss:
Global Localization on OpenStreetMap Using 4-bit Semantic Descriptors. ECMR 2019: 1-7 - [c113]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Jürgen Gall:
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. ICCV 2019: 9296-9306 - [c112]Kaihong Huang, Junhao Xiao, Cyrill Stachniss:
Accurate Direct Visual-Laser Odometry with Explicit Occlusion Handling and Plane Detection. ICRA 2019: 1295-1301 - [c111]Nived Chebrolu, Philipp Lottes, Thomas Läbe, Cyrill Stachniss:
Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields. ICRA 2019: 1787-1793 - [c110]Lorenzo Nardi, Cyrill Stachniss:
Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models. ICRA 2019: 4104-4110 - [c109]Andres Milioto, Leonard P. Mandtler, Cyrill Stachniss:
Fast Instance and Semantic Segmentation Exploiting Local Connectivity, Metric Learning, and One-Shot Detection for Robotics. ICRA 2019: 5481-5487 - [c108]Lorenzo Nardi, Cyrill Stachniss:
Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs. ICRA 2019: 5780-5786 - [c107]Daniel Wilbers, Christian Merfels, Cyrill Stachniss:
Localization with Sliding Window Factor Graphs on Third-Party Maps for Automated Driving. ICRA 2019: 5951-5957 - [c106]Andres Milioto, Cyrill Stachniss:
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs. ICRA 2019: 7094-7100 - [c105]Robert Schirmer, Peter Biber, Cyrill Stachniss:
Coverage Path Planning in Belief Space. ICRA 2019: 7604-7610 - [c104]Daniel Wilbers, Lars Rumberg, Cyrill Stachniss:
Approximating Marginalization with Sparse Global Priors for Sliding Window SLAM-Graphs. IRC 2019: 25-31 - [c103]Daniel Wilbers, Christian Merfels, Cyrill Stachniss:
A Comparison of Particle Filter and Graph-Based Optimization for Localization with Landmarks in Automated Vehicles. IRC 2019: 220-225 - [c102]Andres Milioto, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation. IROS 2019: 4213-4220 - [c101]Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss:
SuMa++: Efficient LiDAR-based Semantic SLAM. IROS 2019: 4530-4537 - [c100]Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss:
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. IROS 2019: 7855-7862 - [i14]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Juergen Gall:
A Dataset for Semantic Segmentation of Point Cloud Sequences. CoRR abs/1904.01416 (2019) - [i13]Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss:
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. CoRR abs/1905.02082 (2019) - [i12]Lorenzo Nardi, Cyrill Stachniss:
Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes. CoRR abs/1909.12733 (2019) - [i11]Alireza Ahmadi, Lorenzo Nardi, Nived Chebrolu, Cyrill Stachniss:
Visual Servoing-based Navigation for Monitoring Row-Crop Fields. CoRR abs/1909.12754 (2019) - [i10]Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming. CoRR abs/1911.03098 (2019) - 2018
- [j40]Jaehoon Jung, Cyrill Stachniss, Sungha Ju, Joon Heo:
Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM. Adv. Eng. Informatics 38: 811-825 (2018) - [j39]Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss:
Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming. IEEE Robotics Autom. Lett. 3(4): 2870-2877 (2018) - [j38]Nived Chebrolu, Thomas Läbe, Cyrill Stachniss:
Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture. IEEE Robotics Autom. Lett. 3(4): 3097-3104 (2018) - [j37]Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Achim Walter, Roland Siegwart:
WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming. Remote. Sens. 10(9): 1423 (2018) - [j36]Tayyab Naseer, Wolfram Burgard, Cyrill Stachniss:
Robust Visual Localization Across Seasons. IEEE Trans. Robotics 34(2): 289-302 (2018) - [c99]Peter Regier, Andres Milioto, Philipp Karkowski, Cyrill Stachniss, Maren Bennewitz:
Classifying Obstacles and Exploiting Knowledge About Classes for Efficient Humanoid Navigation. Humanoids 2018: 820-826 - [c98]Bartolomeo Della Corte, Igor Bogoslavskyi, Cyrill Stachniss, Giorgio Grisetti:
A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration. ICRA 2018: 1-8 - [c97]Kaihong Huang, Cyrill Stachniss:
On Geometric Models and Their Accuracy for Extrinsic Sensor Calibration. ICRA 2018: 1-9 - [c96]Andres Milioto, Philipp Lottes, Cyrill Stachniss:
Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. ICRA 2018: 2229-2235 - [c95]Emanuele Palazzolo, Cyrill Stachniss:
Fast Image-Based Geometric Change Detection Given a 3D Model. ICRA 2018: 6308-6315 - [c94]Kaihong Huang, Cyrill Stachniss:
Joint Ego-motion Estimation Using a Laser Scanner and a Monocular Camera Through Relative Orientation Estimation and 1-DoF ICP. IROS 2018: 671-677 - [c93]Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss:
Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming. IROS 2018: 8233-8238 - [c92]Jens Behley, Cyrill Stachniss:
Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments. Robotics: Science and Systems 2018 - [i9]Andres Milioto, Cyrill Stachniss:
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs. CoRR abs/1802.08960 (2018) - [i8]Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss:
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming. CoRR abs/1806.03412 (2018) - [i7]Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss:
Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming. CoRR abs/1806.03413 (2018) - [i6]Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Roland Siegwart:
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming. CoRR abs/1808.00100 (2018) - [i5]Ferdinand Langer, Leonard P. Mandtler, Andres Milioto, Emanuele Palazzolo, Cyrill Stachniss:
Geometrical Stem Detection from Image Data for Precision Agriculture. CoRR abs/1812.05415 (2018) - 2017
- [j35]Jaehoon Jung, Cyrill Stachniss, Changjae Kim:
Automatic Room Segmentation of 3D Laser Data Using Morphological Processing. ISPRS Int. J. Geo Inf. 6(7): 206 (2017) - [j34]Nived Chebrolu, Philipp Lottes, Alexander Schaefer, Wera Winterhalter, Wolfram Burgard, Cyrill Stachniss:
Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields. Int. J. Robotics Res. 36(10): 1045-1052 (2017) - [j33]Philipp Lottes, Markus Höferlin, Slawomir Sander, Cyrill Stachniss:
Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming. J. Field Robotics 34(6): 1160-1178 (2017) - [j32]Daniel Perea Strom, Igor Bogoslavskyi, Cyrill Stachniss:
Robust exploration and homing for autonomous robots. Robotics Auton. Syst. 90: 125-135 (2017) - [j31]Lorenzo Nardi, Cyrill Stachniss:
User preferred behaviors for robot navigation exploiting previous experiences. Robotics Auton. Syst. 97: 204-216 (2017) - [c91]Philipp Lottes, Raghav Khanna, Johannes Pfeifer, Roland Siegwart, Cyrill Stachniss:
UAV-based crop and weed classification for smart farming. ICRA 2017: 3024-3031 - [c90]Kaihong Huang, Cyrill Stachniss:
Extrinsic multi-sensor calibration for mobile robots using the Gauss-Helmert model. IROS 2017: 1490-1496 - [c89]Robert Schirmer, Peter Biber, Cyrill Stachniss:
Efficient path planning in belief space for safe navigation. IROS 2017: 2857-2863 - [c88]Philipp Lottes, Cyrill Stachniss:
Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement. IROS 2017: 5155-5161 - [c87]Igor Bogoslavskyi, Cyrill Stachniss:
Analyzing the quality of matched 3D point clouds of objects. IROS 2017: 6685-6690 - [i4]Bartolomeo Della Corte, Igor Bogoslavskyi, Cyrill Stachniss, Giorgio Grisetti:
A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration. CoRR abs/1709.05945 (2017) - [i3]Andres Milioto, Philipp Lottes, Cyrill Stachniss:
Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. CoRR abs/1709.06764 (2017) - 2016
- [j30]Nichola Abdo, Cyrill Stachniss, Luciano Spinello, Wolfram Burgard:
Organizing objects by predicting user preferences through collaborative filtering. Int. J. Robotics Res. 35(13): 1587-1608 (2016) - [j29]Olga Vysotska, Cyrill Stachniss:
Lazy Data Association For Image Sequences Matching Under Substantial Appearance Changes. IEEE Robotics Autom. Lett. 1(1): 213-220 (2016) - [j28]Johannes Schneider, Cyrill Stachniss, Wolfgang Förstner:
On the Accuracy of Dense Fisheye Stereo. IEEE Robotics Autom. Lett. 1(1): 227-234 (2016) - [j27]Stefan Oßwald, Maren Bennewitz, Wolfram Burgard, Cyrill Stachniss:
Speeding-Up Robot Exploration by Exploiting Background Information. IEEE Robotics Autom. Lett. 1(2): 716-723 (2016) - [c86]Igor Bogoslavskyi, Mladen Mazuran, Cyrill Stachniss:
Robust homing for autonomous robots. ICRA 2016: 2550-2556 - [c85]Johannes Schneider, Christian Eling, Lasse Klingbeil, Heiner Kuhlmann, Wolfgang Förstner, Cyrill Stachniss:
Fast and effective online pose estimation and mapping for UAVs. ICRA 2016: 4784-4791 - [c84]Philipp Lottes, Markus Hoeferlin, Slawomir Sander, Matthias Muter, Peter Schulze Lammers, Cyrill Stachniss:
An effective classification system for separating sugar beets and weeds for precision farming applications. ICRA 2016: 5157-5163 - [c83]Igor Bogoslavskyi, Cyrill Stachniss:
Fast range image-based segmentation of sparse 3D laser scans for online operation. IROS 2016: 163-169 - [c82]Lorenzo Nardi, Cyrill Stachniss:
Experience-based path planning for mobile robots exploiting user preferences. IROS 2016: 1170-1176 - [c81]Christian Merfels, Cyrill Stachniss:
Pose fusion with chain pose graphs for automated driving. IROS 2016: 3116-3123 - [c80]Olga Vysotska, Cyrill Stachniss:
Exploiting building information from publicly available maps in graph-based SLAM. IROS 2016: 4511-4516 - [p1]Cyrill Stachniss, John J. Leonard, Sebastian Thrun:
Simultaneous Localization and Mapping. Springer Handbook of Robotics, 2nd Ed. 2016: 1153-1176 - 2015
- [j26]Rainer Kümmerle, Michael Ruhnke, Bastian Steder, Cyrill Stachniss, Wolfram Burgard:
Autonomous Robot Navigation in Highly Populated Pedestrian Zones. J. Field Robotics 32(4): 565-589 (2015) - [c79]Vittorio Amos Ziparo, Fabio Cottefoglie, Daniele Calisi, Francesca Giannone, Giorgio Grisetti, Bastian Leibe, Marc Proesmans, Paolo Salonia, Luc Van Gool, Claudia Ventura, Cyrill Stachniss:
A new approach to digitalization and data management of cultural heritage sites. DigitalHERITAGE (1) 2015: 143-146 - [c78]Nichola Abdo, Cyrill Stachniss, Luciano Spinello, Wolfram Burgard:
Robot, organize my shelves! Tidying up objects by predicting user preferences. ICRA 2015: 1557-1564 - [c77]Igor Bogoslavskyi, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Where to park? minimizing the expected time to find a parking space. ICRA 2015: 2147-2152 - [c76]Daniel Perea Strom, Fabrizio Nenci, Cyrill Stachniss:
Predictive exploration considering previously mapped environments. ICRA 2015: 2761-2766 - [c75]Olga Vysotska, Tayyab Naseer, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Efficient and effective matching of image sequences under substantial appearance changes exploiting GPS priors. ICRA 2015: 2774-2779 - [c74]Tayyab Naseer, Michael Ruhnke, Cyrill Stachniss, Luciano Spinello, Wolfram Burgard:
Robust visual SLAM across seasons. IROS 2015: 2529-2535 - [i2]Nichola Abdo, Cyrill Stachniss, Luciano Spinello, Wolfram Burgard:
Collaborative Filtering for Predicting User Preferences for Organizing Objects. CoRR abs/1512.06362 (2015) - 2014
- [j25]Cyrill Stachniss, Wolfram Burgard:
Particle Filters for Robot Navigation. Found. Trends Robotics 3(4): 211-282 (2014) - [j24]Pratik Agarwal, Wolfram Burgard, Cyrill Stachniss:
Survey of Geodetic Mapping Methods: Geodetic Approaches to Mapping and the Relationship to Graph-Based SLAM. IEEE Robotics Autom. Mag. 21(3): 63-80 (2014) - [j23]Kai M. Wurm, Henrik Kretzschmar, Rainer Kümmerle, Cyrill Stachniss, Wolfram Burgard:
Identifying vegetation from laser data in structured outdoor environments. Robotics Auton. Syst. 62(5): 675-684 (2014) - [j22]Barbara Frank, Cyrill Stachniss, Rüdiger Schmedding, Matthias Teschner, Wolfram Burgard:
Learning object deformation models for robot motion planning. Robotics Auton. Syst. 62(8): 1153-1174 (2014) - [c73]Tayyab Naseer, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Robust Visual Robot Localization Across Seasons Using Network Flows. AAAI 2014: 2564-2570 - [c72]Seigo Ito, Felix Endres, Markus Kuderer, Gian Diego Tipaldi, Cyrill Stachniss, Wolfram Burgard:
W-RGB-D: Floor-plan-based indoor global localization using a depth camera and WiFi. ICRA 2014: 417-422 - [c71]Nichola Abdo, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Inferring what to imitate in manipulation actions by using a recommender system. ICRA 2014: 1203-1208 - [c70]Stefan Oßwald, Henrik Kretzschmar, Wolfram Burgard, Cyrill Stachniss:
Learning to give route directions from human demonstrations. ICRA 2014: 3303-3308 - [c69]Pratik Agarwal, Wolfram Burgard, Cyrill Stachniss:
Helmert's and Bowie's geodetic mapping methods and their relation to graph-based SLAM. ICRA 2014: 3619-3625 - [c68]Pratik Agarwal, Giorgio Grisetti, Gian Diego Tipaldi, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
Experimental analysis of dynamic covariance scaling for robust map optimization under bad initial estimates. ICRA 2014: 3626-3631 - [c67]Mladen Mazuran, Gian Diego Tipaldi, Luciano Spinello, Wolfram Burgard, Cyrill Stachniss:
A statistical measure for map consistency in SLAM. ICRA 2014: 3650-3655 - [c66]Olga Vysotska, Barbara Frank, István Ulbert, Oliver Paul, Patrick Ruther, Cyrill Stachniss, Wolfram Burgard:
Automatic channel selection and neural signal estimation across channels of neural probes. IROS 2014: 1453-1459 - [c65]Fabrizio Nenci, Luciano Spinello, Cyrill Stachniss:
Effective compression of range data streams for remote robot operations using H.264. IROS 2014: 3794-3799 - [i1]Jürgen Sturm, Cyrill Stachniss, Wolfram Burgard:
A Probabilistic Framework for Learning Kinematic Models of Articulated Objects. CoRR abs/1405.7705 (2014) - 2013
- [j21]Armin Hornung, Kai M. Wurm, Maren Bennewitz, Cyrill Stachniss, Wolfram Burgard:
OctoMap: an efficient probabilistic 3D mapping framework based on octrees. Auton. Robots 34(3): 189-206 (2013) - [j20]Kai M. Wurm, Christian Dornhege, Bernhard Nebel, Wolfram Burgard, Cyrill Stachniss:
Coordinating heterogeneous teams of robots using temporal symbolic planning. Auton. Robots 34(4): 277-294 (2013) - [j19]Daniel Maier, Cyrill Stachniss, Maren Bennewitz:
Vision-Based humanoid Navigation using Self-Supervised Obstacle Detection. Int. J. Humanoid Robotics 10(2) (2013) - [c64]Igor Bogoslavskyi, Olga Vysotska, Jacopo Serafin, Giorgio Grisetti, Cyrill Stachniss:
Efficient traversability analysis for mobile robots using the Kinect sensor. ECMR 2013: 158-163 - [c63]Wolfram Burgard, Cyrill Stachniss:
Robotics: Probabilistic Methods for State Estimation and Control. GI-Jahrestagung 2013: 150 - [c62]Pratik Agarwal, Gian Diego Tipaldi, Luciano Spinello, Cyrill Stachniss, Wolfram Burgard:
Robust map optimization using dynamic covariance scaling. ICRA 2013: 62-69 - [c61]Nichola Abdo, Henrik Kretzschmar, Luciano Spinello, Cyrill Stachniss:
Learning manipulation actions from a few demonstrations. ICRA 2013: 1268-1275 - [c60]Rainer Kümmerle, Michael Ruhnke, Bastian Steder, Cyrill Stachniss, Wolfram Burgard:
A navigation system for robots operating in crowded urban environments. ICRA 2013: 3225-3232 - [c59]Vittorio A. Ziparo, Marco Zaratti, Giorgio Grisetti, Taigo Maria Bonanni, Jacopo Serafin, Maurilio Di Cicco, Marc Proesmans, Luc Van Gool, Olga Vysotska, Igor Bogoslavskyi, Cyrill Stachniss:
Exploration and mapping of catacombs with mobile robots. SSRR 2013: 1-2 - 2012
- [j18]Henrik Kretzschmar, Cyrill Stachniss:
Information-theoretic compression of pose graphs for laser-based SLAM. Int. J. Robotics Res. 31(11): 1219-1230 (2012) - [c58]Jorg Rowekamper, Christoph Sprunk, Gian Diego Tipaldi, Cyrill Stachniss, Patrick Pfaff, Wolfram Burgard:
On the position accuracy of mobile robot localization based on particle filters combined with scan matching. IROS 2012: 3158-3164 - [c57]Dominik Joho, Gian Diego Tipaldi, Nikolas Engelhard, Cyrill Stachniss, Wolfram Burgard:
Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction. Robotics: Science and Systems 2012 - [e2]Cyrill Stachniss, Kerstin Schill, David H. Uttal:
Spatial Cognition VIII - International Conference, Spatial Cognition 2012, Kloster Seeon, Germany, August 31 - September 3, 2012. Proceedings. Lecture Notes in Computer Science 7463, Springer 2012, ISBN 978-3-642-32731-5 [contents] - 2011
- [j17]Jürgen Sturm, Cyrill Stachniss, Wolfram Burgard:
A Probabilistic Framework for Learning Kinematic Models of Articulated Objects. J. Artif. Intell. Res. 41: 477-526 (2011) - [c56]Barbara Frank, Cyrill Stachniss, Nichola Abdo, Wolfram Burgard:
Using Gaussian Process Regression for Efficient Motion Planning in Environments with Deformable Objects. Automated Action Planning for Autonomous Mobile Robots 2011 - [c55]Rainer Kümmerle, Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgard:
Simultaneous parameter calibration, localization, and mapping for robust service robotics. ARSO 2011: 76-79 - [c54]Daniel Maier, Maren Bennewitz, Cyrill Stachniss:
Self-supervised obstacle detection for humanoid navigation using monocular vision and sparse laser data. ICRA 2011: 1263-1269 - [c53]Jakob Ziegler, Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard:
Accurate human motion capture in large areas by combining IMU- and laser-based people tracking. IROS 2011: 86-91 - [c52]Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti:
Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders. IROS 2011: 865-871 - [c51]Barbara Frank, Cyrill Stachniss, Nichola Abdo, Wolfram Burgard:
Efficient motion planning for manipulation robots in environments with deformable objects. IROS 2011: 2180-2185 - [c50]Kai M. Wurm, Daniel Hennes, Dirk Holz, Radu Bogdan Rusu, Cyrill Stachniss, Kurt Konolige, Wolfram Burgard:
Hierarchies of octrees for efficient 3D mapping. IROS 2011: 4249-4255 - [c49]Cyrill Stachniss, Henrik Kretzschmar:
Pose Graph Compression for Laser-Based SLAM. ISRR 2011: 271-287 - 2010
- [j16]Giorgio Grisetti, Rainer Kümmerle, Cyrill Stachniss, Wolfram Burgard:
A Tutorial on Graph-Based SLAM. IEEE Intell. Transp. Syst. Mag. 2(4): 31-43 (2010) - [j15]Cyrill Stachniss, Stefan B. Williams, José Neira:
Editorial: Visual navigation and mapping outdoors. J. Field Robotics 27(5): 509-510 (2010) - [j14]Henrik Kretzschmar, Giorgio Grisetti, Cyrill Stachniss:
Lifelong Map Learning for Graph-based SLAM in Static Environments. Künstliche Intell. 24(3): 199-206 (2010) - [j13]Kai M. Wurm, Cyrill Stachniss, Giorgio Grisetti:
Bridging the gap between feature- and grid-based SLAM. Robotics Auton. Syst. 58(2): 140-148 (2010) - [j12]Christian Plagemann, Cyrill Stachniss, Jürgen Hess, Felix Endres, Nathan Franklin:
A nonparametric learning approach to range sensing from omnidirectional vision. Robotics Auton. Syst. 58(6): 762-772 (2010) - [c48]Giorgio Grisetti, Rainer Kümmerle, Cyrill Stachniss, Udo Frese, Christoph Hertzberg:
Hierarchical optimization on manifolds for online 2D and 3D mapping. ICRA 2010: 273-278 - [c47]Jürgen Sturm, Kurt Konolige, Cyrill Stachniss, Wolfram Burgard:
Vision-based detection for learning articulation models of cabinet doors and drawers in household environments. ICRA 2010: 362-368 - [c46]Michael Karg, Kai M. Wurm, Cyrill Stachniss, Klaus Dietmayer, Wolfram Burgard:
Consistent mapping of multistory buildings by introducing global constraints to graph-based SLAM. ICRA 2010: 5383-5388 - [c45]Barbara Frank, Ruediger Schmedding, Cyrill Stachniss, Matthias Teschner, Wolfram Burgard:
Learning the elasticity parameters of deformable objects with a manipulation robot. IROS 2010: 1877-1883 - [c44]Jürgen Sturm, Advait Jain, Cyrill Stachniss, Charles C. Kemp, Wolfram Burgard:
Operating articulated objects based on experience. IROS 2010: 2739-2744 - [c43]Kai M. Wurm, Christian Dornhege, Patrick Eyerich, Cyrill Stachniss, Bernhard Nebel, Wolfram Burgard:
Coordinated exploration with marsupial teams of robots using temporal symbolic planning. IROS 2010: 5014-5019
2000 – 2009
- 2009
- [b2]Cyrill Stachniss:
Robotic Mapping and Exploration. Springer Tracts in Advanced Robotics 55, Springer 2009, ISBN 978-3-642-01096-5, pp. 3-180 [contents] - [j11]Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal:
Learning gas distribution models using sparse Gaussian process mixtures. Auton. Robots 26(2-3): 187-202 (2009) - [j10]Rainer Kümmerle, Bastian Steder, Christian Dornhege, Michael Ruhnke, Giorgio Grisetti, Cyrill Stachniss, Alexander Kleiner:
On measuring the accuracy of SLAM algorithms. Auton. Robots 27(4): 387-407 (2009) - [j9]Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgard:
Nonlinear Constraint Network Optimization for Efficient Map Learning. IEEE Trans. Intell. Transp. Syst. 10(3): 428-439 (2009) - [c42]Hauke Strasdat, Cyrill Stachniss, Wolfram Burgard:
Which landmark is useful? Learning selection policies for navigation in unknown environments. ICRA 2009: 1410-1415 - [c41]Barbara Frank, Cyrill Stachniss, Ruediger Schmedding, Matthias Teschner, Wolfram Burgard:
Real-world robot navigation amongst deformable obstacles. ICRA 2009: 1649-1654 - [c40]Clemens Eppner, Jürgen Sturm, Maren Bennewitz, Cyrill Stachniss, Wolfram Burgard:
Imitation learning with generalized task descriptions. ICRA 2009: 3968-3974 - [c39]Maren Bennewitz, Cyrill Stachniss, Sven Behnke, Wolfram Burgard:
Utilizing reflection properties of surfaces to improve mobile robot localization. ICRA 2009: 4287-4292 - [c38]Jürgen Sturm, Vijay Pradeep, Cyrill Stachniss, Christian Plagemann, Kurt Konolige, Wolfram Burgard:
Learning Kinematic Models for Articulated Objects. IJCAI 2009: 1851-1856 - [c37]Alexander Schneider, Jürgen Sturm, Cyrill Stachniss, Marco Reisert, Hans Burkhardt, Wolfram Burgard:
Object identification with tactile sensors using bag-of-features. IROS 2009: 243-248 - [c36]Kai M. Wurm, Rainer Kümmerle, Cyrill Stachniss, Wolfram Burgard:
Improving robot navigation in structured outdoor environments by identifying vegetation from laser data. IROS 2009: 1217-1222 - [c35]Wolfram Burgard, Cyrill Stachniss, Giorgio Grisetti, Bastian Steder, Rainer Kümmerle, Christian Dornhege, Michael Ruhnke, Alexander Kleiner, Juan D. Tardós:
A comparison of SLAM algorithms based on a graph of relations. IROS 2009: 2089-2095 - [c34]Hauke Strasdat, Cyrill Stachniss, Wolfram Burgard:
Learning Landmark Selection Policies for Mapping Unknown Environments. ISRR 2009: 483-499 - [c33]Felix Endres, Christian Plagemann, Cyrill Stachniss, Wolfram Burgard:
Unsupervised discovery of object classes from range data using latent Dirichlet allocation. Robotics: Science and Systems 2009 - 2008
- [j8]Cyrill Stachniss, Óscar Martínez Mozos, Wolfram Burgard:
Efficient exploration of unknown indoor environments using a team of mobile robots. Ann. Math. Artif. Intell. 52(2-4): 205-227 (2008) - [j7]Bastian Steder, Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgard:
Visual SLAM for Flying Vehicles. IEEE Trans. Robotics 24(5): 1088-1093 (2008) - [c32]Christian Plagemann, Felix Endres, Jürgen Hess, Cyrill Stachniss, Wolfram Burgard:
Monocular range sensing: A non-parametric learning approach. ICRA 2008: 929-934 - [c31]Giorgio Grisetti, Dario Lodi Rizzini, Cyrill Stachniss, Edwin Olson, Wolfram Burgard:
Online constraint network optimization for efficient maximum likelihood map learning. ICRA 2008: 1880-1885 - [c30]Cyrill Stachniss, Maren Bennewitz, Giorgio Grisetti, Sven Behnke, Wolfram Burgard:
How to learn accurate grid maps with a humanoid. ICRA 2008: 3194-3199 - [c29]Barbara Frank, Markus Becker, Cyrill Stachniss, Wolfram Burgard, Matthias Teschner:
Efficient path planning for mobile robots in environments with deformable objects. ICRA 2008: 3737-3742 - [c28]Kai M. Wurm, Cyrill Stachniss, Wolfram Burgard:
Coordinated multi-robot exploration using a segmentation of the environment. IROS 2008: 1160-1165 - [c27]Henrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard:
Estimating landmark locations from geo-referenced photographs. IROS 2008: 2902-2907 - [c26]Patrick Pfaff, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard:
Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures. IROS 2008: 3539-3544 - [c25]Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal, Wolfram Burgard:
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models. Robotics: Science and Systems 2008 - [e1]Wolfram Burgard, Oliver Brock, Cyrill Stachniss:
Robotics: Science and Systems III, June 27-30, 2007, Georgia Institute of Technology, Atlanta, Georgia, USA. The MIT Press 2008, ISBN 978-0-262-52484-1 [contents] - 2007
- [j6]Cyrill Stachniss, Giorgio Grisetti, Óscar Martínez Mozos, Wolfram Burgard:
Efficiently Learning Metric and Topological Maps with Autonomous Service Robots (Effizientes Lernen metrischer und topologischer Karten mit autonomen Servicerobotern). it Inf. Technol. 49(4): 232- (2007) - [j5]Giorgio Grisetti, Gian Diego Tipaldi, Cyrill Stachniss, Wolfram Burgard, Daniele Nardi:
Fast and accurate SLAM with Rao-Blackwellized particle filters. Robotics Auton. Syst. 55(1): 30-38 (2007) - [j4]Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgard:
Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters. IEEE Trans. Robotics 23(1): 34-46 (2007) - [c24]Hauke Strasdat, Cyrill Stachniss, Maren Bennewitz, Wolfram Burgard:
Visual Bearing-Only Simultaneous Localization and Mapping with Improved Feature Matching. AMS 2007: 15-21 - [c23]Dominik Joho, Cyrill Stachniss, Patrick Pfaff, Wolfram Burgard:
Autonomous Exploration for 3D Map Learning. AMS 2007: 22-28 - [c22]Kai M. Wurm, Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard:
Improved Simultaneous Localization and Mapping using a Dual Representation of the Environment. EMCR 2007 - [c21]Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, Pierre Lamon, Wolfram Burgard, Roland Siegwart:
Towards Mapping of Cities. ICRA 2007: 4807-4813 - [c20]Bastian Steder, Giorgio Grisetti, Slawomir Grzonka, Cyrill Stachniss, Axel Rottmann, Wolfram Burgard:
Learning maps in 3D using attitude and noisy vision sensors. IROS 2007: 644-649 - [c19]Giorgio Grisetti, Slawomir Grzonka, Cyrill Stachniss, Patrick Pfaff, Wolfram Burgard:
Efficient estimation of accurate maximum likelihood maps in 3D. IROS 2007: 3472-3478 - [c18]Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard, Nicholas Roy:
Analyzing gaussian proposal distributions for mapping with rao-blackwellized particle filters. IROS 2007: 3485-3490 - [c17]Giorgio Grisetti, Cyrill Stachniss, Slawomir Grzonka, Wolfram Burgard:
A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent. Robotics: Science and Systems 2007 - 2006
- [b1]Cyrill Stachniss:
Exploration and mapping with mobile robots. University of Freiburg, 2006 - [c16]Christian Plagemann, Cyrill Stachniss, Wolfram Burgard:
Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters. EUROS 2006: 93-107 - [c15]Maren Bennewitz, Cyrill Stachniss, Wolfram Burgard, Sven Behnke:
Metric Localization with Scale-Invariant Visual Features Using a Single Perspective Camera. EUROS 2006: 195-209 - [c14]Giorgio Grisetti, Gian Diego Tipaldi, Cyrill Stachniss, Wolfram Burgard, Daniele Nardi:
Speeding-up Rao-blackwellized SLAM. ICRA 2006: 442-447 - [c13]Cyrill Stachniss, Óscar Martínez Mozos, Wolfram Burgard:
Speeding-up Multi-robot Exploration by Considering Semantic Place Information. ICRA 2006: 1692-1697 - [c12]Arturo Gil, Óscar Reinoso, Óscar Martínez Mozos, Cyrill Stachniss, Wolfram Burgard:
Improving Data Association in Vision-based SLAM. IROS 2006: 2076-2081 - 2005
- [j3]Cyrill Stachniss, Dirk Hähnel, Wolfram Burgard, Giorgio Grisetti:
On actively closing loops in grid-based FastSLAM. Adv. Robotics 19(10): 1059-1079 (2005) - [j2]Panos E. Trahanias, Wolfram Burgard, Antonis A. Argyros, Dirk Hähnel, Haris Baltzakis, Patrick Pfaff, Cyrill Stachniss:
TOURBOT and WebFAIR: Web-operated mobile robots for tele-presence in populated exhibitions. IEEE Robotics Autom. Mag. 12(2): 77-89 (2005) - [j1]Wolfram Burgard, Mark Moors, Cyrill Stachniss, Frank E. Schneider:
Coordinated multi-robot exploration. IEEE Trans. Robotics 21(3): 376-386 (2005) - [c11]Axel Rottmann, Óscar Martínez Mozos, Cyrill Stachniss, Wolfram Burgard:
Semantic Place Classification of Indoor Environments with Mobile Robots Using Boosting. AAAI 2005: 1306-1311 - [c10]Cyrill Stachniss, Wolfram Burgard:
Mobile Robot Mapping and Localization in Non-Static Environments. AAAI 2005: 1324-1329 - [c9]Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard:
Recovering Particle Diversity in a Rao-Blackwellized Particle Filter for SLAM After Actively Closing Loops. ICRA 2005: 655-660 - [c8]Óscar Martínez Mozos, Cyrill Stachniss, Wolfram Burgard:
Supervised Learning of Places from Range Data using AdaBoost. ICRA 2005: 1730-1735 - [c7]Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgard:
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling. ICRA 2005: 2432-2437 - [c6]Óscar Martínez Mozos, Cyrill Stachniss, Axel Rottmann, Wolfram Burgard:
Using AdaBoost for Place Labeling and Topological Map Building. ISRR 2005: 453-472 - [c5]Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard:
Information Gain-based Exploration Using Rao-Blackwellized Particle Filters. Robotics: Science and Systems 2005: 65-72 - 2004
- [c4]Cyrill Stachniss, Dirk Hähnel, Wolfram Burgard:
Exploration with active loop-closing for FastSLAM. IROS 2004: 1505-1510 - 2003
- [c3]Cyrill Stachniss, Wolfram Burgard:
Exploring Unknown Environments with Mobile Robots using Coverage Maps. IJCAI 2003: 1127-1134 - [c2]Cyrill Stachniss, Wolfram Burgard:
Mapping and exploration with mobile robots using coverage maps. IROS 2003: 467-472 - 2002
- [c1]Cyrill Stachniss, Wolfram Burgard:
An integrated approach to goal-directed obstacle avoidance under dynamic constraints for dynamic environments. IROS 2002: 508-513
Coauthor Index
[j101] [c184] [i92] [i89] [i88] [i87] [j99] [j97] [j94] [j92] [j91] [j90] [j89] [c183] [c182] [c181] [c180] [c176] [c175] [c173] [c168] [i86] [i85] [i83] [i81] [i79] [i78] [i75] [i72] [i70] [i69] [i68] [i67] [i66] [j88] [j84] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [c167] [c166] [c165] [c163] [c162] [c161] [c159] [c158] [c157] [c155] [c152] [i62] [i61] [i60] [i59] [i58] [i56] [i52] [j67] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [c150] [c149] [c143] [i51] [i46] [i43] [i40] [i39] [i38] [i37] [i36] [i35] [i33] [j53] [j52] [j51] [j50] [j49] [c142] [c141] [c135] [c134] [c132] [c131] [c127] [i32] [i30] [i29] [i28] [i27] [i25] [i19] [j44] [c118] [c117] [c116] [c115] [i18] [i16] [c113] [c102] [c101] [c100] [i14] [i13] [j39] [c93] [c92] [i8] [i7]
[j47] [i10] [j36] [j34] [j30] [j27] [j26] [c78] [c77] [c75] [c74] [i2] [j25] [j24] [j23] [j22] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [i1] [j21] [j20] [c63] [c62] [c60] [c58] [c57] [j17] [c56] [c55] [c53] [c51] [c50] [j16] [c47] [c46] [c45] [c44] [c43] [j9] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [j8] [j7] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [e1] [j6] [j5] [j4] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [j3] [j2] [j1] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j100] [j84] [j79] [j75] [j71] [j70] [c167] [c164] [c152] [i63] [i58] [j67] [j66] [j64] [j62] [j60] [j59] [j57] [c148] [i51] [i48] [i43] [i42] [i41] [i39] [i36] [j52] [j49] [j48] [c142] [c139] [c138] [c135] [c134] [c133] [c128] [i30] [i29] [i28] [i27] [i26] [i25] [i21] [i19] [c118] [c115] [i15] [c101]
[j102] [i89] [j99] [j96] [j94] [j93] [c183] [c180] [c173] [i86] [i84] [i83] [i78] [i77] [i73] [i72] [i70] [i67] [j88] [j78] [j77] [j73] [j69] [j68] [c165] [c161] [c160] [c159] [c158] [c155] [i64] [i62] [i60] [i59] [i53] [i52] [j56] [c151] [c145] [c143] [i50] [i49] [i47] [i37] [i35] [c140] [c137] [c131] [i23] [c120]
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