Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving?
Paper • 2610.09695 • Published • 19
AI & ML interests
AI for Robotics and Autonomous Driving, affiliated at The University of Hong Kong (HKU) and Shanghai Innovation Institute (SII).
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SimVTA: Simulation-Grounded Video-Trajectory Alignment for Driving World Action Models
Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving?