3 papers
cs.CV2026
The LAIA Dataset: Labelled Attention for Intelligent Automobiles
A. Contreras, D. Porres, R. Abad +5
The development of autonomous vehicles (AVs) usually relies heavily on data-driven artificial intelligence (AI) models that require large volumes of sensor data with ground-truth a…
cs.CV2026
Multimodal Action Diffusion for Robust End-to-End Autonomous Driving
Jorge Daniel RodrÃguez-Vidal, Diego Porres, Gabriel Villalonga Pineda +1
End-to-End Autonomous Driving (E2E-AD) systems have largely converged on predicting intermediate trajectory waypoints, delegating final control to hand-crafted controllers with GPS…
cs.CV2026
Addressing the Waypoint-Action Gap in End-to-End Autonomous Driving via Vehicle Motion Models
Jorge Daniel RodrÃguez-Vidal, Gabriel Villalonga, Diego Porres +1
End-to-End Autonomous Driving (E2E-AD) systems are typically grouped by the nature of their outputs: (i) waypoint-based models that predict a future trajectory, and (ii) action-bas…