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Integrating ego-conditioned prediction and gap-driven motion planning for safe autonomous driving

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Efficient and safe trajectory planning in complex traffic remains challenging due to weak prediction-planning coupling in existing methods. This paper proposes a coupled prediction-planning framework that deeply integrates intention-aware multi-agent ...