Integrating ego-conditioned prediction and gap-driven motion planning for safe autonomous driving
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on May 30, 2026
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 ...
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 ...