175 citations · 201 across the 6 of their papers we have counts for
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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…
cs.CV2024★ 1 cited
Improved Single Camera BEV Perception Using Multi-Camera Training
Daniel Busch, Ido Freeman, Richard Meyes +1
Bird's Eye View (BEV) map prediction is essential for downstream autonomous driving tasks like trajectory prediction. In the past, this was accomplished through the use of a sophis…