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1. (WO2018176596) UNMANNED BICYCLE PATH PLANNING METHOD BASED ON WEIGHT-IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM

Pub. No.:    WO/2018/176596    International Application No.:    PCT/CN2017/084510
Publication Date: Fri Oct 05 01:59:59 CEST 2018 International Filing Date: Wed May 17 01:59:59 CEST 2017
IPC: G05D 1/02
Applicants: SHENZHEN JING ZHOU TECHNOLOGY CO., LTD
深圳市靖洲科技有限公司
Inventors: WU, JianGuo
吴建国
Title: UNMANNED BICYCLE PATH PLANNING METHOD BASED ON WEIGHT-IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM
Abstract:
An unmanned bicycle path planning method based on a weight-improved particle swarm optimization algorithm, comprising the following steps: (1) performing environment modeling and coding according to a working environment of an unmanned bicycle; (2) establishing a fitness function; and (3) planning a path for the unmanned bicycle according to a weight-improved particle swarm optimization algorithm. The path planning method can make a bicycle travel strictly according to a planned path, can generate an optimal path in both dynamic and static environments, has fewer parameters needing to be adjusted, features a simple model, and facilitates calculation.