Research on dynamic path planning method of moving single target based on visual AGV
Meng Sun, Liqun Lu, Huiting Ni, Yi Wang, Janghui Gao · SN Applied Sciences · 2022
Abstract In order to research the ability of AGV to cope with the dynamic path planning in mobile single-object dynamic environment, the dynamic path planning methods based on reduced point and non-reduced point were proposed. This paper focuses on the dynamic path planning method of non-reduced point moving targets, adopts the method of combining historical data and real-time data, establishing the NAR neural network prediction model to predict velocity of moving target, and connecting with the A * algorithm, through the example simulation experiment, the results show that the effective success rate of the algorithm reaches 77.5% in the map environment set in this paper.