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2020 – today
- 2024
[j30]Mateusz Nijak
, Piotr Skrzypczynski, Krzysztof Cwian, Michal Zawada, Sebastian Szymczyk, Jacek Wojciechowski:
On the Importance of Precise Positioning in Robotised Agriculture. Remote. Sens. 16(6): 985 (2024)- [j29]Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou-Ammar, Krzysztof Walas, Piotr Skrzypczynski, Jan Peters:
Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks. IEEE Trans. Robotics 40: 277-297 (2024) - [c59]Sandro Bimonte, Gianni Bellocchi, François Pinet, Guillaume Charrier, Dimitris Sacharidis, Mahmoud Attia Sakr, Ronan Tournier, Gentian Jakllari, Gérard Chalhoub, M. Tahar Kechadi, Boualem Benatallah, Francesco Marinello, Roberto Oberti, Jérôme Bindelle, Ginta Majore, Piotr Skrzypczynski:
Technological and Research Challenges in Data Engineering for Sustainable Agriculture. BiDEDE@SIGMOD 2024: 7:1-7:6 - 2023
- [j28]Iman Esfandiyar, Krzysztof Cwian, Michal R. Nowicki, Piotr Skrzypczynski:
GNSS-Based Driver Assistance for Charging Electric City Buses: Implementation and Lessons Learned from Field Testing. Remote. Sens. 15(11): 2938 (2023) - [j27]Marta Rostkowska, Piotr Skrzypczynski:
Optimizing Appearance-Based Localization with Catadioptric Cameras: Small-Footprint Models for Real-Time Inference on Edge Devices. Sensors 23(14): 6485 (2023) - [c58]Mikolaj Lysakowski, Kamil Zywanowski, Adam Banaszczyk, Michal R. Nowicki, Piotr Skrzypczynski, Slawomir Konrad Tadeja:
Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8. EDGE 2023: 364-371 - [c57]Tomasz Nowak, Piotr Skrzypczynski:
A Neural Network Architecture for Accurate 4D Vehicle Pose Estimation from Monocular Images with Uncertainty Assessment. ICONIP (8) 2023: 396-412 - [c56]Damian Sójka, Michal R. Nowicki, Piotr Skrzypczynski:
Learning an Efficient Terrain Representation for Haptic Localization of a Legged Robot. ICRA 2023: 12170-12176 - [c55]Mikolaj Lysakowski, Kamil Zywanowski, Adam Banaszczyk, Michal R. Nowicki, Piotr Skrzypczynski, Slawomir Konrad Tadeja:
Using AR and YOLOv8-Based Object Detection to Support Real-World Visual Search in Industrial Workshop: Lessons Learned from a Pilot Study. ISMAR-Adjunct 2023: 154-158 - [i12]Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou-Ammar, Krzysztof Walas, Piotr Skrzypczynski, Jan Peters:
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks. CoRR abs/2301.04330 (2023) - [i11]Riccardo Albertoni, Sara Colantonio, Piotr Skrzypczynski, Jerzy Stefanowski:
Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues. CoRR abs/2302.12691 (2023) - [i10]Mikolaj Lysakowski, Kamil Zywanowski, Adam Banaszczyk, Michal R. Nowicki, Piotr Skrzypczynski, Slawomir Konrad Tadeja:
Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8. CoRR abs/2306.03537 (2023) - 2022
- [j26]Tomasz Nowak, Michal R. Nowicki, Piotr Skrzypczynski:
Vision-based positioning of electric buses for assisted docking to charging stations. Int. J. Appl. Math. Comput. Sci. 32(4) (2022) - [j25]Kamil Roszyk, Michal R. Nowicki, Piotr Skrzypczynski:
Adopting the YOLOv4 Architecture for Low-Latency Multispectral Pedestrian Detection in Autonomous Driving. Sensors 22(3): 1082 (2022) - [c54]Tomasz Nowak, Piotr Skrzypczynski:
Geometry-Aware Keypoint Network: Accurate Prediction of Point Features in Challenging Scenario. FedCSIS 2022: 191-200 - [c53]Krzysztof Cwian, Michal R. Nowicki, Piotr Skrzypczynski:
GNSS-Augmented LiDAR SLAM for Accurate Vehicle Localization in Large Scale Urban Environments. ICARCV 2022: 701-708 - [c52]Piotr Kicki, Piotr Skrzypczynski:
Speeding up deep neural network-based planning of local car maneuvers via efficient B-spline path construction. ICRA 2022: 4422-4428 - [i9]Piotr Kicki, Piotr Skrzypczynski:
Speeding up deep neural network-based planning of local car maneuvers via efficient B-spline path construction. CoRR abs/2203.06963 (2022) - [i8]Damian Sójka, Michal R. Nowicki, Piotr Skrzypczynski:
Learning an Efficient Terrain Representation for Haptic Localization of a Legged Robot. CoRR abs/2209.15135 (2022) - 2021
- [j24]Piotr Kicki, Tomasz Gawron, Krzysztof Cwian, Mete Ozay, Piotr Skrzypczynski:
Learning from experience for rapid generation of local car maneuvers. Eng. Appl. Artif. Intell. 105: 104399 (2021) - [j23]Krzysztof Cwian, Michal R. Nowicki, Jan Wietrzykowski, Piotr Skrzypczynski:
Large-Scale LiDAR SLAM with Factor Graph Optimization on High-Level Geometric Features. Sensors 21(10): 3445 (2021) - [j22]Tomasz Nowak, Krzysztof Cwian, Piotr Skrzypczynski:
Real-Time Detection of Non-Stationary Objects Using Intensity Data in Automotive LiDAR SLAM. Sensors 21(20): 6781 (2021) - [j21]Maciej Marcin Michalek, Tomasz Gawron, Michal R. Nowicki, Piotr Skrzypczynski:
Precise Docking at Charging Stations for Large-Capacity Vehicles: An Advanced Driver-Assistance System for Drivers of Electric Urban Buses. IEEE Veh. Technol. Mag. 16(3): 57-65 (2021) - [c51]Piotr Skrzypczynski:
LiDAR Localization and Mapping for Autonomous Vehicles: Recent Solutions and Trends. AUTOMATION 2021: 251-261 - [c50]Piotr Kicki, Piotr Skrzypczynski, Mete Ozay:
A New Approach to Design Symmetry Invariant Neural Networks. IJCNN 2021: 1-8 - [c49]Jan Wietrzykowski, Piotr Skrzypczynski:
On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM. IROS 2021: 79-85 - [i7]Jan Wietrzykowski, Piotr Skrzypczynski:
On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM. CoRR abs/2108.01383 (2021) - 2020
- [c48]Tomasz Nowak, Michal R. Nowicki, Krzysztof Cwian, Piotr Skrzypczynski:
Leveraging Object Recognition in Reliable Vehicle Localization from Monocular Images. AUTOMATION 2020: 195-205 - [c47]Jan Wietrzykowski, Piotr Skrzypczynski:
A fast and practical method of indoor localization for resource-constrained devices with limited sensing. ICRA 2020: 293-299 - [c46]Krzysztof Cwian, Michal R. Nowicki, Tomasz Nowak, Piotr Skrzypczynski:
Planar Features for Accurate Laser-Based 3-D SLAM in Urban Environments. KKA 2020: 941-953 - [i6]Piotr Kicki, Mete Ozay, Piotr Skrzypczynski:
A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups. CoRR abs/2002.07528 (2020) - [i5]Piotr Kicki, Tomasz Gawron, Piotr Skrzypczynski:
A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment. CoRR abs/2003.00946 (2020) - [i4]Piotr Kicki, Tomasz Gawron, Krzysztof Cwian, Mete Ozay, Piotr Skrzypczynski:
Learning from Experience for Rapid Generation of Local Car Maneuvers. CoRR abs/2012.03707 (2020) - [i3]Piotr Kicki, Mete Ozay, Piotr Skrzypczynski:
A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups. CoRR abs/2012.06452 (2020)
2010 – 2019
- 2019
- [j20]Aleksander Kostusiak, Piotr Skrzypczynski:
On the Efficiency of Population-Based Optimization in Finding Best Parameters for RGB-D Visual Odometry. J. Autom. Mob. Robotics Intell. Syst. 13(2): 5-14 (2019) - [j19]Dominik Belter, Jan Wietrzykowski, Piotr Skrzypczynski:
Employing Natural Terrain Semantics in Motion Planning for a Multi-Legged Robot. J. Intell. Robotic Syst. 93(3-4): 723-743 (2019) - [j18]Jan Wietrzykowski, Piotr Skrzypczynski:
PlaneLoc: Probabilistic global localization in 3-D using local planar features. Robotics Auton. Syst. 113: 160-173 (2019) - [j17]Michal R. Nowicki, Piotr Skrzypczynski:
A Multi-User Personal Indoor Localization System Employing Graph-Based Optimization. Sensors 19(1): 157 (2019) - [j16]Michal R. Nowicki, Piotr Skrzypczynski:
Leveraging Visual Place Recognition to Improve Indoor Positioning with Limited Availability of WiFi Scans. Sensors 19(17): 3657 (2019) - [c45]Mateusz Mydlarz, Piotr Skrzypczynski:
A Self-driving Car in the Classroom: Design of an Embedded, Behavior-Based Control System for a Car-Like Robot. AUTOMATION 2019: 367-378 - [c44]Michal R. Nowicki, Tomasz Nowak, Piotr Skrzypczynski:
Laser-Based Localization and Terrain Mapping for Driver Assistance in a City Bus. AUTOMATION 2019: 502-512 - [c43]Tomasz Nowak, Michal R. Nowicki, Krzysztof Cwian, Piotr Skrzypczynski:
How to Improve Object Detection in a Driver Assistance System Applying Explainable Deep Learning. IV 2019: 226-231 - 2018
- [j15]Dominik Belter, Michal Nowicki, Piotr Skrzypczynski:
Modeling spatial uncertainty of point features in feature-based RGB-D SLAM. Mach. Vis. Appl. 29(5): 827-844 (2018) - [c42]Marta Rostkowska, Marek Wasik, Piotr Skrzypczynski:
Implementation of Peripheral Vision in a Hybrid Field of View Sensor. AUTOMATION 2018: 584-594 - [c41]Jan Wietrzykowski, Piotr Skrzypczynski:
Context-Aware Recognition of Drivable Terrain with Automated Parameters Estimation. IAS 2018: 626-638 - 2017
- [j14]Michal R. Nowicki, Dominik Belter, Aleksander Kostusiak, Petr Cizek, Jan Faigl, Piotr Skrzypczynski:
An experimental study on feature-based SLAM for multi-legged robots with RGB-D sensors. Ind. Robot 44(4): 428-441 (2017) - [j13]Aleksander Kostusiak, Michal Nowicki, Piotr Skrzypczynski:
On the Application of RGB-D SLAM Systems for Practical Localization of Mobile Robots. J. Autom. Mob. Robotics Intell. Syst. 11(2): 57-66 (2017) - [j12]Marek Kraft, Michal Nowicki, Adam Schmidt, Michal Fularz, Piotr Skrzypczynski:
Toward evaluation of visual navigation algorithms on RGB-D data from the first- and second-generation Kinect. Mach. Vis. Appl. 28(1-2): 61-74 (2017) - [j11]Michal R. Nowicki, Jan Wietrzykowski, Piotr Skrzypczynski:
Real-Time Visual Place Recognition for Personal Localization on a Mobile Device. Wirel. Pers. Commun. 97(1): 213-244 (2017) - [c40]Piotr Skrzypczynski:
Mobile Robot Localization: Where We Are and What Are the Challenges? AUTOMATION 2017: 249-267 - [c39]Piotr Skrzypczynski:
Path Planning for an Unmanned Ground Vehicle Traversing Rough Terrain with Unknown Areas. AUTOMATION 2017: 319-329 - [c38]Jan Wietrzykowski, Michal Nowicki, Piotr Skrzypczynski:
Adopting the FAB-MAP Algorithm for Indoor Localization with WiFi Fingerprints. AUTOMATION 2017: 585-594 - [c37]Jan Wietrzykowski, Piotr Skrzypczynski:
A probabilistic framework for global localization with segmented planes. ECMR 2017: 1-6 - 2016
- [j10]Marek Kraft, Michal Nowicki, Rudi Penne, Adam Schmidt, Piotr Skrzypczynski:
Efficient RGB-D data processing for feature-based self-localization of mobile robots. Int. J. Appl. Math. Comput. Sci. 26(1): 63-79 (2016) - [j9]Dominik Belter, Przemyslaw Labecki, Piotr Skrzypczynski:
Adaptive Motion Planning for Autonomous Rough Terrain Traversal with a Walking Robot. J. Field Robotics 33(3): 337-370 (2016) - [c36]Dominik Belter, Michal Nowicki, Piotr Skrzypczynski:
Evaluating Map-Based RGB-D SLAM on an Autonomous Walking Robot. AUTOMATION 2016: 469-481 - [c35]Dominik Belter, Michal Nowicki, Piotr Skrzypczynski:
Improving accuracy of feature-based RGB-D SLAM by modeling spatial uncertainty of point features. ICRA 2016: 1279-1284 - [c34]Michal Nowicki, Jan Wietrzykowski, Piotr Skrzypczynski:
Experimental evaluation of visual place recognition algorithms for personal indoor localization. IPIN 2016: 1-8 - [c33]Krzysztof Walas, Michal Nowicki, David Ferstl, Piotr Skrzypczynski:
Depth data fusion for simultaneous localization and mapping - RGB-DD SLAM. MFI 2016: 9-14 - [c32]Marta Rostkowska, Piotr Skrzypczynski:
Hybrid field of view vision: From biological inspirations to integrated sensor design. MFI 2016: 629-634 - [c31]Michal R. Nowicki, Marta Rostkowska, Piotr Skrzypczynski:
Indoor navigation using QR codes and WiFi signals with an implementation on mobile platform. SPA 2016: 156-161 - [i2]Jan Wietrzykowski, Michal Nowicki, Piotr Skrzypczynski:
Adopting the FAB-MAP algorithm for indoor localization with WiFi fingerprints. CoRR abs/1611.02054 (2016) - [i1]Michal Nowicki, Jan Wietrzykowski, Piotr Skrzypczynski:
Efficient Vision Data Processing on a Mobile Device for Indoor Localization. CoRR abs/1611.02061 (2016) - 2015
- [j8]Marta Rostkowska, Piotr Skrzypczynski:
Improving Self-Localization Efficiency in a Small Mobile Robot by Using a Hybrid Field of View Vision System. J. Autom. Mob. Robotics Intell. Syst. 9(4): 28-38 (2015) - [c30]Michal Joachimiak, Mikolaj Wasielica, Piotr Skrzypczynski, Janusz Sobecki, Moncef Gabbouj:
View Synthesis with Kinect-Based Tracking for Motion Parallax Depth Cue on a 2D Display. CORES 2015: 841-851 - [c29]Michal Nowicki, Jan Wietrzykowski, Piotr Skrzypczynski:
Simplicity or flexibility? Complementary Filter vs. EKF for orientation estimation on mobile devices. CYBCONF 2015: 166-171 - [c28]Michal Nowicki, Piotr Skrzypczynski:
Indoor Navigation with a Smartphone Fusing Inertial and WiFi Data via Factor Graph Optimization. MobiCASE 2015: 280-298 - [c27]Dominik Belter, Michal Nowicki, Piotr Skrzypczynski:
Accurate Map-Based RGB-D SLAM for Mobile Robots. ROBOT (2) 2015: 533-545 - [c26]Dominik Belter, Piotr Skrzypczynski:
The importance of measurement uncertainty modelling in the feature-based RGB-D SLAM. RoMoCo 2015: 308-313 - [p4]Dominik Belter, Michal Nowicki, Piotr Skrzypczynski, Krzysztof Walas, Jan Wietrzykowski:
Lightweight RGB-D SLAM System for Search and Rescue Robots. Progress in Automation, Robotics and Measuring Techniques (2) 2015: 11-21 - [p3]Dominik Belter, Piotr Skrzypczynski, Krzysztof Walas, Donald Wlodkowic:
Affordable Multi-legged Robots for Research and STEM Education: A Case Study of Design and Technological Aspects. Progress in Automation, Robotics and Measuring Techniques (2) 2015: 23-34 - 2014
- [c25]Dominik Belter, Michal Nowicki, Piotr Skrzypczynski:
On the Performance of Pose-Based RGB-D Visual Navigation Systems. ACCV (2) 2014: 407-423 - [c24]Michal Fularz, Michal Nowicki, Piotr Skrzypczynski:
Adopting Feature-Based Visual Odometry for Resource-Constrained Mobile Devices. ICIAR (2) 2014: 431-441 - [c23]Michal Nowicki, Piotr Skrzypczynski:
Performance comparison of point feature detectors and descriptors for visual navigation on Android platform. IWCMC 2014: 116-121 - [p2]Marta Rostkowska, Michal Topolski, Piotr Skrzypczynski:
Direct Local Communication for Distributed Coordination in a Multi-robot Team. Recent Advances in Automation, Robotics and Measuring Techniques 2014: 463-473 - 2013
- [j7]Dominik Belter, Piotr Skrzypczynski:
Precise self-localization of a walking robot on rough terrain using parallel tracking and mapping. Ind. Robot 40(3): 229-237 (2013) - [j6]Michal Nowicki, Piotr Skrzypczynski:
Experimental Verification of a Walking Robot Self-Localization System with the Kinect Sensor. J. Autom. Mob. Robotics Intell. Syst. 7(4): 42 (2013) - [c22]Mikolaj Wasielica, Marek Wasik, Andrzej J. Kasinski, Piotr Skrzypczynski:
Interactive programming of a mechatronic system: A small humanoid robot example. AIM 2013: 459-464 - [c21]Michal Nowicki, Piotr Skrzypczynski:
Robust Registration of Kinect Range Data for Sensor Motion Estimation. CORES 2013: 835-844 - [c20]Michal Nowicki, Piotr Skrzypczynski:
Combining photometric and depth data for lightweight and robust visual odometry. ECMR 2013: 125-130 - [c19]Dominik Belter, Przemyslaw Labecki, Piotr Skrzypczynski:
An exploration-based approach to terrain traversability assessment for a walking robot. SSRR 2013: 1-6 - 2012
- [j5]Piotr Skrzypczynski:
Laser scan matching for self-localization of a walking robot in man-made environments. Ind. Robot 39(3): 242-250 (2012) - [c18]Dominik Belter, Piotr Skrzypczynski:
Posture optimization strategy for a statically stable robot traversing rough terrain. IROS 2012: 2204-2209 - [c17]Dominik Belter, Przemyslaw Labecki, Piotr Skrzypczynski:
Estimating terrain elevation maps from sparse and uncertain multi-sensor data. ROBIO 2012: 715-722 - 2011
- [j4]Dominik Belter, Piotr Skrzypczynski:
Rough terrain mapping and classification for foothold selection in a walking robot. J. Field Robotics 28(4): 497-528 (2011) - [c16]Dominik Belter, Przemyslaw Labecki, Piotr Skrzypczynski:
On-Board Perception and Motion Planning for Legged Locomotion over Rough Terrain. ECMR 2011: 195-200 - 2010
- [j3]Dominik Belter, Piotr Skrzypczynski:
A biologically inspired approach to feasible gait learning for a hexapod robot. Int. J. Appl. Math. Comput. Sci. 20(1): 69-84 (2010) - [c15]Dominik Belter, Przemyslaw Labecki, Piotr Skrzypczynski:
Map-based adaptive foothold planning for unstructured terrain walking. ICRA 2010: 5256-5261
2000 – 2009
- 2009
- [j2]Piotr Skrzypczynski:
Simultaneous localization and mapping: A feature-based probabilistic approach. Int. J. Appl. Math. Comput. Sci. 19(4): 575-588 (2009) - [c14]Przemyslaw Labecki, Adam Lopatowski, Piotr Skrzypczynski:
Terrain Perception for a Walking Robot with a Low-Cost Structured Light Sensor. ECMR 2009: 199-204 - [c13]Piotr Skrzypczynski:
Perceptually Rich Local Environment Description with Aggregated Features. ECMR 2009: 297-302 - [p1]Piotr Skrzypczynski:
Augmenting Mobile Robot Geometric Map with Photometric Information. Computer Recognition Systems 3 2009: 3-10 - 2008
- [c12]Dominik Belter, Andrzej J. Kasinski, Piotr Skrzypczynski:
Evolving feasible gaits for a hexapod robot by reducing the space of possible solutions. IROS 2008: 2673-2678 - [c11]Piotr Skrzypczynski:
How to recognize and remove qualitative errors in time-of-flight laser range measurements. IROS 2008: 2958-2963 - 2007
- [c10]Piotr Skrzypczynski:
Spatial Uncertainty Management for Simultaneous Localization and Mapping. ICRA 2007: 4050-4055 - 2006
- [c9]Piotr Skrzypczynski:
Uncertain Spatial Knowledge Management in a Mobile Robot Architecture. MFI 2006: 420-425 - 2005
- [c8]Piotr Skrzypczynski:
Planning Positioning Actions of a Mobile Robot Cooperating with Distributed Sensors. CORES 2005: 427-434 - [c7]Piotr Skrzypczynski:
Merging Probabilistic and Fuzzy Frameworks for Uncertain Spatial Knowledge Modelling. CORES 2005: 435-442 - 2004
- [j1]Piotr Skrzypczynski:
A team of mobile robots and monitoring sensors--from concept to experiment. Adv. Robotics 18(6): 583-610 (2004) - 2002
- [c6]Andrzej J. Kasinski, Piotr Skrzypczynski:
Communication Mechanism in a Distributed System of Mobile Robots. DARS 2002: 51-60 - 2001
- [c5]Piotr Skrzypczynski:
Guiding a mobile robot with an Internet application. IROS 2001: 649-654 - [c4]Grazyna Brzykcy, Jacek Martinek, Adam Meissner, Piotr Skrzypczynski:
Multi-agent blackboard architecture for a mobile robot. IROS 2001: 2369-2374 - 2000
- [c3]Andrzej J. Kasinski, Piotr Skrzypczynski:
Experiments and Results in Multimodal, Distributed, Robotic Perception. DARS 2000: 283-292
1990 – 1999
- 1998
- [c2]Andrzej J. Kasinski, Piotr Skrzypczynski:
Cooperative Perception and World-Model Maintenance in Mobile Navigation Tasks. DARS 1998: 173-182 - 1996
- [c1]Piotr Skrzypczynski:
2D and 3D World Modelling Using Optical Scanner Data. Intelligent Robots 1996: 211-228
Coauthor Index
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