Research on AGV Intelligent Parking Navigation Path Planning Based on A* Algorithm
Pages 579 - 585
Abstract
In this paper, for the AGV navigation path planning algorithm design problems, explored and researched the idea and implementation process of the A* algorithm, constructed the experimental environment model of AGV navigation path planning by using grid graphs, and carried out experiments with the help of simulation tools to verify the impact of different neighborhood node expansion search methods on the path planning speed in the A* algorithm. From the experimental data comparison and analysis results, it is concluded that the node expansion search method plays a key role in the efficiency of path planning. The results of the exploration research will provide a certain reference basis for the correct selection of node neighborhood expansion search method for AGV navigation route path planning in the actual production environment.
References
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Index Terms
- Research on AGV Intelligent Parking Navigation Path Planning Based on A* Algorithm
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Published In
October 2023
1809 pages
ISBN:9798400708305
DOI:10.1145/3650400
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 April 2024
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- Refereed limited
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- Research on the application of intelligent parking guidance system based on edge computing
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EITCE 2023
EITCE 2023: 2023 7th International Conference on Electronic Information Technology and Computer Engineering
October 20 - 22, 2023
Xiamen, China
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Overall Acceptance Rate 508 of 972 submissions, 52%
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