Niclas Vödisch
|   | 
         Albert-Ludwigs-Universität Freiburg  | 
About me
- 06/2021 - 06/2025: Ph.D. student in the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard; collaborating with the Robot Learning group led by Prof. Dr. Abhinav Valada.
- 06/2024 - 12/2024: Visiting Ph.D. student at the Robotics and Perception Group (University of Zurich) of Prof. Dr. Davide Scaramuzza
- 09/2018 - 05/2021: M.Sc. in Computational Science and Engineering at ETH Zurich, Switzerland
- 08/2016 - 05/2017: Visiting student at Carnegie Mellon University in Pittsburgh, PA, USA
- 09/2014 - 06/2018: B.Sc. in Computational Engineering Science at RWTH Aachen University, Germany
Research Interests
- Continual Learning for Robotics
- Machine Perception
- Simultaneous Localization and Mapping (SLAM)
Teaching
- Co-organizer, Seminar: Robot Learning, WS 2024/25
- Co-organizer, Seminar: Learning with Limited Supervision, SS 2024
- Leading organizer, FreiCAR: Pratical Autonomous Driving, SS 2022, WS 2022/23, WS 2023/24
- TA, Foundations of Deep Learning, WS 2021/22
Students
- Learning-Based Visual Odometry, Lennart König, Master Project (with Martin Büchner)
- Collaborative Open-Vocabulary 3D Scene Graph Mapping, Tim Steinke, Master Thesis, 04/2025 (with Martin Büchner)
- Label-Efficient LiDAR Panoptic Segmentation With 2D Annoations, Ahmet Canakci, Master Thesis, 09/2024 (with Kürsat Petek)
- Label-Efficient Panoptic Segmentation With Self-Supervised Vision Foundation Models, Markus Käppeler, Master Thesis, 12/2023 (with Kürsat Petek)
- BEVCar: Camera-Radar BEV Object and Semantic Map Segmentation, Jonas Schramm, Master Thesis, 12/2023 (with Kürsat Petek)
- Mapping, Navigation, and Control on a Real-World Autonomous Platform, Tim Steinke, Master Project, 09/2023 (with Martin Büchner)
- COBUS: Collaborative Urban Scene Graph Generation Using Long-Term Panoptic SLAM, Elias Greve, Master Thesis, 07/2023 (with Martin Büchner)
- Cross-Modal Distillation for Multi-Camera 3D Object Detection and BEV Map Segmentation, Markus Käppeler, Master Project, 03/2023 (with Kürsat Petek)
- PADLoC: Deep Loop Closure Detection and Registration Using Panoptic Attention, José Arce y de la Borbolla, Master Thesis, 06/2022 (with Daniele Cattaneo)
Publications
Workshop Papers
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    N. Vödisch, D. Cattaneo, W. Burgard, and A. Valada 
 CoVIO: Online Continual Learning for Visual-Inertial Odometry
 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Vancouver, Canada, 2023
 arXiv IEEE Xplore Website BibTeX
Conference Papers
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    A. S. Çanakçı*, N. Vödisch*, K. Petek, W. Burgard, and A. Valada 
 Label-Efficient LiDAR Panoptic Segmentation
 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025
 arXiv Video Website BibTeX
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    T. Steinke*, M. Büchner*, N. Vödisch*, and A. Valada 
 Collaborative Dynamic 3D Scene Graphs for Open-Vocabulary Urban Scene Understanding
 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025
 arXiv Video Website BibTeX
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    J. Wei, N. Vödisch, A. Rehr, C. Feist, and A. Valada 
 ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models
 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025
 arXiv Video BibTeX
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    N. Vödisch, G. Cioffi, M. Cannici, W. Burgard, and D. Scaramuzza 
 LiDAR Registration with Visual Foundation Models
 Robotics: Science and Systems (RSS), Los Angeles, CA, USA, 2025
 arXiv Video Website BibTeX
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    J. Schramm*, N. Vödisch*, K. Petek*, B R. Kiran, S. Yogamani, W. Burgard, and A. Valada 
 BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation
 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, UAE, 2024
 IROS 2024 Best Paper Award on Cognitive Robotics - Winner
 IROS 2024 Best Student Paper Award - Finalist
 arXiv arXiv Video Website BibTeX
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    M. Käppeler*, K. Petek*, N. Vödisch*, W. Burgard, and A. Valada 
 Few-Shot Panoptic Segmentation With Foundation Models
 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024
 arXiv IEEE Xplore Website BibTeX
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    E. Greve*, M. Büchner*, N. Vödisch*, W. Burgard, and A. Valada 
 Collaborative Dynamic 3D Scene Graphs for Automated Driving
 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024
 arXiv IEEE Xplore Website BibTeX
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    N. Vödisch*, K. Petek*, W. Burgard, and A. Valada 
 CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
 Robotics: Science and Systems (RSS), Daegu, South Korea, 2023
 arXiv RSS Video Website BibTex
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    N. Vödisch, D. Cattaneo, W. Burgard, and A. Valada 
 Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning
 International Symposium on Robotics Research (ISRR), Geneva, Switzerland, 2022
 arXiv Springer Video Website BibTeX
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    L. Andresen*, A. Brandemuehl*, A. Hönger*, B. Kuan*, N. Vödisch*, H. Blum, V. Reijgwart, L. Bernreiter, L. Schaupp, J. J. Chung, M. Bürki, M. R. Oswald, R. Siegwart, and A. Gawel 
 Accurate Mapping and Planning for Autonomous Racing
 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020
 arXiv IEEE Xplore Video BibTeX
Journal Papers
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    N. Vödisch*, K. Petek*, M. Käppeler*, A. Valada, and W. Burgard
 A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation
 IEEE Robotics and Automation Letters (RA-L), vol. 10, issue 1, pp. 216-223, January 2025
 arXiv IEEE Xplore Video Website BibTeX
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    K. Petek*, N. Vödisch*, J. Meyer, D. Cattaneo, A. Valada, and W. Burgard 
 Automatic Target-Less Camera-LiDAR Calibration from Motion and Deep Point Correspondences
 IEEE Robotics and Automation Letters (RA-L), vol. 9, issue 11, pp. 9978-9985, November 2024
 arXiv IEEE Xplore Video Website BibTeX
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    J. Arce, N. Vödisch, D. Cattaneo, W. Burgard, and A. Valada 
 PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention
 IEEE Robotics and Automation Letters (RA-L), vol. 8, issue 3, pp. 1319-1326, March 2023
 arXiv IEEE Xplore Video Website BibTex
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    N. Vödisch, O. Unal, K. Li, L. Van Gool, and D. Dai 
 End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization
 IEEE Robotics and Automation Letters (RA-L), vol. 7, issue 2, pp. 2242-2249, April 2022
 arXiv IEEE Xplore Video Code BibTeX
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    N. Vödisch*, D. Dodel*, and M. Schötz* 
 FSOCO: The Formula Student Objects in Context Dataset
 SAE International Journal of Connected and Automated Vehicles, vol. 5, 2022
 arXiv SAE Website BibTeX

