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cs.RO2026
Rectify, Don't Regret: On-Policy Closed-Loop Training for Multimodal Trajectory Prediction
Harsh Yadav, Christian Bohn, Tobias Meisen
Current trajectory prediction models are primarily trained in an open-loop manner, which often leads to covariate shift and compounding errors when deployed in real-world, closed-l…
cs.CV2026
Faster Training, Fewer Labels: Self-Supervised Pretraining for Fine-Grained BEV Segmentation
Daniel Busch, Christian Bohn, Thomas Kurbiel +3
Dense Bird's Eye View (BEV) semantic maps are central to autonomous driving, yet current multi-camera methods depend on costly, inconsistently annotated BEV ground truth. We addres…