In recent years,autonomous driving technology has made breakthrough progress,bringing more possibilities for future transportation.The analysis of the path planning of autonomous vehicles is of great significance for improving transportation efficiency and promoting the development of smart transportation.Based on mathematical equations and autonomous driving programs,the study explores optimization solutions for autonomous driving technology path planning from autonomous driving path planning algorithms,optimization,and maps.By comparing path planning algorithms,a more suitable algorithm for autonomous driving is found to achieve more accurate and efficient autonomous driving path planning,so as to expand new thinking of autonomous driving technology.
维普
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