2 papers
cs.RO2026
Depth-Wise Probing and Pruning of the Planning Token in a Driving Vision-Language-Action Model
Harisankar Babu, Benjamin Coors, Christopher Lang +3
Vision-language-action (VLA) models route driving decisions through a deep language model, but it is unclear how much of that depth the action itself requires. We study a represent…
cs.RO2024
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations
Matthias Bitzer, Reinis Cimurs, Benjamin Coors +4
Simulation plays a crucial role in the rapid development and safe deployment of autonomous vehicles. Realistic traffic agent models are indispensable for bridging the gap between s…