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

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.