Improved SSD algorithm for unmanned sprayer obstacle avoidance path planning
In the traditional path planning algorithm,the algorithm optimization process is complicated and the overall planning efficiency is low,the resulting path deviation is large,which seriously affects the normal agricultural production.In order to solve the balance between accuracy and efficiency,the improved SSD algorithm is introduced to optimize the obstacle avoidance path planning process of unmanned sprayer;establish the improved convolution model of SSD algorithm,create the attention mechanism of obstacle target,and plan the obstacle avoidance path;improve the influence degree of model features,optimize the ability of path obstacle a-nalysis,and enhance the calculation ability of obstacle path planning.By comparing the experimental data,it is shown that the accu-racy and planning efficiency of obstacle avoidance path planning after the proposed algorithm are improved,which can better balance the accuracy of obstacle avoidance and path planning efficiency,and has high research value.
万方数据
维普
