Beyond Waypoint Regression: Query-Based Cost Learning over Reachable Ego Futures for End-to-End Driving
Query-based cost learning over reachable ego futures improves end-to-end driving collision rates on nuScenes and real logs.
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Query-based cost learning over reachable ego futures improves end-to-end driving collision rates on nuScenes and real logs.
Researchers propose HC-MTS, a bilevel minimax search that finds worst-case hidden-vehicle trajectories under occlusion, cutting retained hidden-seed counts ~18-22% on Waymo scenarios.
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