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Integrated framework for path re-planning and tracking based on fusion prediction for autonomous obstacle avoidance

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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.
Path planning and tracking are critical for ensuring the safety and efficiency of autonomous vehicles. Environmental uncertainties and path tracking errors significantly affect these processes. Traditional methods often struggle to effectively handle ...