A Real Time Tracking Method for Unmanned Traffic Vehicle Paths Based on Electronic Tags

In order to improve the real-time tracking accuracy of the path and reduce tracking bias, a real-time path tracking method for unmanned vehicles based on electronic tags is proposed. Firstly, electronic tags are used to collect the path information of non human traffic vehicles. Secondly, based on the collected information, an improved Pure Pursuit algorithm is used to calculate the curvature of the pedestrian free flow vehicle path. Finally, construct an objective function for real-time path tracking, and solve the objective function to achieve real-time tracking of unmanned vehicle paths. The experimental results show that compared with existing tracking methods, the real-time tracking accuracy of the proposed method is consistent with the actual path, and the tracking deviation is significantly reduced.