AI RESEARCH
Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back
arXiv CS.CV
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ArXi:2505.18945v2 Announce Type: replace Modern end-to-end autonomous driving systems suffer from a critical limitation: their planners lack mechanisms to enforce temporal consistency between predicted trajectories and evolving scene dynamics. This absence of self-supervision allows early prediction errors to compound catastrophically over time. We