Research on dynamic path planning method of moving single target based on visual AGV

• DOI: 10.1007/s42452-022-04947-8
• Publication Date: 2022-02-22T11:02:45Z
• Authors: Meng Sun; Liqun Lu; Huiting Ni; Yi Wang; Janghui Gao
• Keywords: MATLAB; Technology; Simulation experiment; Complex environment; Science; T; Q; 0202 electrical engineering, electronic engineering, information engineering; Visual AGV; 02 engineering and technology; Dynamic path planning

Abstract In order to research the ability of AGV cope with dynamic path planning in mobile single-object environment, methods based on reduced point and non-reduced were proposed. This paper focuses method moving targets, adopts combining historical data real-time data, establishing NAR neural network prediction model predict velocity target, connecting A * algorithm, through example simulation experiment, results show that effective success rate algorithm reaches 77.5% map environment set this paper.