Automatic parking multi-target adaptive trajectory optimization method based on genetic algorithm

• Main Authors: DAI XINGMIN, WANG KAI, ZHAI XIANXU, LIU SHOUWEI, GU TAOTAO, QI HONGQING, WANG DONG, WU XUDONG, SUN HONGJIAN, WU YONG, HU ZHENZHU, YU JING, LIU HENG
• Format: Patent
• Language: Chinese; English
• Published: 13.10.2023
• Subjects: CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; PERFORMING OPERATIONS; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT; TRANSPORTING; VEHICLES IN GENERAL

The invention discloses an automatic parking multi-target adaptive trajectory optimization method based on a genetic algorithm. The method comprises the following steps: S1, vehicle surrounding environment perception fusion and fuzzy processing; s2, establishing a transformation relation of a coordinate system to realize unification and transformation of the coordinate system; s3, parameterized parking planning is carried out based on the parking space coordinate system; s4, establishing a multi-objective function model of automatic parking planning; s5, performing multi-objective optimization on the established multi-objective function model through a genetic algorithm; and S6, calculating an optimal parking track according to an optimization result, and outputting a planning result. According to the method, different environments are rapidly met by establishing the parameterized automatic parking planning model, high flexibility is achieved, the multi-objective optimization model is established, optimizatio