Research Progress of Automatic Driving Path Planning

Abstract

Due to the wide application and promotion of artificial intelligence technology and automation technology, automatic driving technology is the core direction of academic and automotive industry research and development. Studies have shown that the emergence of autonomous vehicles can comprehensively improve the safety and comfort of vehicle driving, meet higher-level needs, and effectively improve traffic congestion, ensure road traffic safety, and provide scientific guidance for urban planning and construction. Automatic driving technology framework can be divided into environmental perception positioning, path planning and line control execution. As an important module of autonomous driving framework, path planning is to follow the path, avoid obstacles, and generate the best trajectory to ensure safety, comfort and efficiency. This paper mainly integrates the research and development status of autonomous vehicles, combs the path planning algorithms such as graph search algorithm, curve interpolation, artificial potential field method, and evaluates these methods.