4 papers
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…
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…
Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization
Caio Azevedo, Lina Achaji, Stefano Sabatini +4
Trajectory prediction is an essential step in the pipeline of an autonomous vehicle. Inaccurate or inconsistent predictions regarding the movement of agents in its surroundings lea…
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
Yixiao Wang, Chen Tang, Lingfeng Sun +8
Diffusion models are promising for joint trajectory prediction and controllable generation in autonomous driving, but they face challenges of inefficient inference steps and high c…