Obstacle Avoidance Path Planning Strategy for Autonomous Vehicles Based on Genetic Algorithm

In order to enhance the driving ability of autonomous vehicles on structured roads and enable them to plan safe and comfortable paths, we propose an obstacle avoidance path strategy for autonomous vehicles based on genetic algorithm. The use of Frenet-Serret enhances the adaptability of the algorith...

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Veröffentlicht in:	Promet Jg. 36; H. 4; S. 733 - 748
Hauptverfasser:	WENG, Xiaofeng, LIU, Fei, ZHOU, Sheng, MAI, Jiacheng, FENG, Shaoxiang
Format:	Journal Article Paper
Sprache:	Englisch
Veröffentlicht:	Sveučilište u Zagrebu Fakultet prometnih znanosti 01.01.2024 University of Zagreb, Faculty of Transport and Traffic Sciences
Schlagworte:	anti-collision model autonomous vehicle genetic algorithm path planning sequential quadratic programming (SQP)
ISSN:	0353-5320, 1848-4069
Online-Zugang:	Volltext
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