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Niclas Vödisch
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2020 – today
- 2024
- [j3]Kürsat Petek, Niclas Vödisch, Johannes Meyer, Daniele Cattaneo, Abhinav Valada, Wolfram Burgard:
Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences. IEEE Robotics Autom. Lett. 9(11): 9978-9985 (2024) - [c6]Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada:
Few-Shot Panoptic Segmentation With Foundation Models. ICRA 2024: 7718-7724 - [c5]Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada:
Collaborative Dynamic 3D Scene Graphs for Automated Driving. ICRA 2024: 11118-11124 - [i14]Jonas Schramm, Niclas Vödisch, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Wolfram Burgard, Abhinav Valada:
BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation. CoRR abs/2403.11761 (2024) - [i13]Kürsat Petek, Niclas Vödisch, Johannes Meyer, Daniele Cattaneo
, Abhinav Valada, Wolfram Burgard:
Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences. CoRR abs/2404.17298 (2024) - [i12]Niclas Vödisch:
Efficient Robot Learning for Perception and Mapping. CoRR abs/2405.14688 (2024) - [i11]Niclas Vödisch, Kürsat Petek, Markus Käppeler, Abhinav Valada, Wolfram Burgard:
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation. CoRR abs/2405.19035 (2024) - 2023
- [j2]José Arce
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention. IEEE Robotics Autom. Lett. 8(3): 1319-1326 (2023) - [c4]Niclas Vödisch, Daniele Cattaneo
CoVIO: Online Continual Learning for Visual-Inertial Odometry. CVPR Workshops 2023: 2464-2473 - [c3]Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada:
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. Robotics: Science and Systems 2023 - [i10]Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada:
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. CoRR abs/2303.10147 (2023) - [i9]Niclas Vödisch, Daniele Cattaneo
CoVIO: Online Continual Learning for Visual-Inertial Odometry. CoRR abs/2303.10149 (2023) - [i8]Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada:
Collaborative Dynamic 3D Scene Graphs for Automated Driving. CoRR abs/2309.06635 (2023) - [i7]Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada:
Few-Shot Panoptic Segmentation With Foundation Models. CoRR abs/2309.10726 (2023) - 2022
- [j1]Niclas Vödisch
End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. IEEE Robotics Autom. Lett. 7(2): 2242-2249 (2022) - [c2]Niclas Vödisch, Daniele Cattaneo
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning. ISRR 2022: 19-35 - [i6]Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. CoRR abs/2201.03860 (2022) - [i5]Niclas Vödisch, Daniele Cattaneo
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. CoRR abs/2203.01578 (2022) - [i4]José Arce, Niclas Vödisch, Daniele Cattaneo
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention. CoRR abs/2209.09699 (2022) - 2020
- [c1]Leiv Andresen, Adrian Brandemuehl, Alex Hönger, Benson Kuan, Niclas Vödisch
Accurate Mapping and Planning for Autonomous Racing. IROS 2020: 4743-4749 - [i3]Andreas Bühler, Niclas Vödisch, Mathias Bürki, Lukas Schaupp:
Deep Unsupervised Common Representation Learning for LiDAR and Camera Data using Double Siamese Networks. CoRR abs/2001.00762 (2020) - [i2]Leiv Andresen, Adrian Brandemuehl, Alex Hönger, Benson Kuan, Niclas Vödisch
Fast and Accurate Mapping for Autonomous Racing. CoRR abs/2003.05266 (2020) - [i1]David Dodel, Michael Schötz, Niclas Vödisch
FSOCO: The Formula Student Objects in Context Dataset. CoRR abs/2012.07139 (2020)
Coauthor Index
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last updated on 2024-11-07 20:27 CET by the dblp team
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