A perception-free MLP reduces average L2 trajectory error by ~20% versus perception-based methods on nuScenes, suggesting current open-loop evaluation may reward trajectory mimicry over safe planning.
Fast and furi- ous: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
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Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes
A perception-free MLP reduces average L2 trajectory error by ~20% versus perception-based methods on nuScenes, suggesting current open-loop evaluation may reward trajectory mimicry over safe planning.