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Niclas Vödisch
Niclas Vödisch
University of Freiburg
Verified email at cs.uni-freiburg.de - Homepage
Title
Cited by
Cited by
Year
Continual slam: Beyond lifelong simultaneous localization and mapping through continual learning
N Vödisch, D Cattaneo, W Burgard, A Valada
Robotics Research, 19-35, 2023
282023
Accurate mapping and planning for autonomous racing
L Andresen, A Brandemuehl, A Honger, B Kuan, N Vödisch, H Blum, ...
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
25*2020
FSOCO: The Formula Student Objects in Context Dataset
N Vödisch, D Dodel, M Schötz
SAE International Journal of Connected and Automated Vehicles 5 (12-05-01-0003), 2022
14*2022
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention
J Arce, N Vödisch, D Cattaneo, W Burgard, A Valada
IEEE Robotics and Automation Letters, 2023
132023
End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization
N Vödisch, O Unal, K Li, L Van Gool, D Dai
IEEE Robotics and Automation Letters 7 (2), 2242-2249, 2022
112022
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
N Vödisch, K Petek, W Burgard, A Valada
arXiv preprint arXiv:2303.10147, 2023
72023
Few-Shot Panoptic Segmentation With Foundation Models
M Käppeler, K Petek, N Vödisch, W Burgard, A Valada
arXiv preprint arXiv:2309.10726, 2023
62023
Collaborative Dynamic 3D Scene Graphs for Automated Driving
E Greve, M Büchner, N Vödisch, W Burgard, A Valada
arXiv preprint arXiv:2309.06635, 2023
52023
Covio: Online continual learning for visual-inertial odometry
N Vödisch, D Cattaneo, W Burgard, A Valada
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation
J Schramm, N Vödisch, K Petek, BR Kiran, S Yogamani, W Burgard, ...
arXiv preprint arXiv:2403.11761, 2024
2024
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