ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring

arXiv — cs.CV•Wednesday, October 29, 2025 at 4:00:00 AM

A new approach to autonomous driving called ZTRS is making waves in the tech community. By using end-to-end methods that map raw sensor data directly to vehicle trajectories, it aims to eliminate errors that often arise from traditional perception systems. Unlike existing models that depend heavily on imitation learning, which can be limited by the quality of expert demonstrations, ZTRS leverages reinforcement learning to enhance performance in simulated environments. This innovation is significant as it could lead to safer and more reliable autonomous vehicles on our roads.

— via World Pulse Now AI Editorial System

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