4 citations · 4 across the 4 of their papers we have counts for
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…
Exploiting map information for self-supervised learning in motion forecasting
Caio Azevedo, Thomas Gilles, Stefano Sabatini +1
Inspired by recent developments regarding the application of self-supervised learning (SSL), we devise an auxiliary task for trajectory prediction that takes advantage of map-only…