Research on Path Planning of Unmanned Vehicle Based on Target Search
In order to improve the ability of autonomous target searching of intelligent unmanned vehicle system and realize efficient envi-ronment detection and accurate path planning,a path planning method of unmanned vehicle based on target searching is proposed in this paper.The overall idea is to plan the path of unmanned vehicle by using environmental perception.In the process of target search,the environment is investigated in real time and the target characteristics are recognized online.Based on this,the rapid modeling of the surrounding environment,obstacle avoidance and the search task of specified targets are completed.In the soft-ware and hardware implementation and testing of the system,the unmanned vehicle platform is used to verify the proposed ideas and algorithms.The results show that the unmanned vehicle path planning method based on target search proposed in this paper can realize the rapid identification of targets and the effective planning of driving paths.