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cs.CV2026
Towards Zero-Shot Transfer Across Embodiments For Driving VLAs
Caio Azevedo, Stefano Sabatini, Sascha Hornauer +1
Vision-Language-Action models (VLAs) have shown strong potential in autonomous driving by leveraging multimodal pretraining for instruction following, visual reasoning, and scene-l…
cs.CV2026
LESV: Language Embedded Sparse Voxel Fusion for Open-Vocabulary 3D Scene Understanding
Fusang Wang, Nathan Piasco, Moussab Bennehar +3
Recent advancements in open-vocabulary 3D scene understanding heavily rely on 3D Gaussian Splatting (3DGS) to register vision-language features into 3D space. However, we identify…
cs.AI2026
Future-Interactions-Aware Trajectory Prediction via Braid Theory
Caio Azevedo, Stefano Sabatini, Sascha Hornauer +1
To safely operate, an autonomous vehicle must know the future behavior of a potentially high number of interacting agents around it, a task often posed as multi-agent trajectory pr…