Design of obstacle avoidance path planning system for Intelligent Vehicles Based on Internet of things

Abstract

In order to improve the rationality of vehicle obstacle avoidance path planning, this paper proposes and designs a new vehicle obstacle avoidance path planning system based on Internet of things. In the environment of Internet of things, the overall framework of the system is designed. In order to improve the operation performance of the system, in the hardware part of the system, the obstacle recognition module and vehicle position display module are designed to accurately collect the position information of obstacles and vehicles. In the part of system software design, the artificial potential field method is used to calculate the repulsion force and gravity of the vehicle, and the resultant force is calculated according to the calculation results. According to the results of resultant force calculation, the optimal path planning function is constructed to complete the path planning. The experimental results show that, compared with the traditional obstacle avoidance path planning system, the rationality of the planned path is better, and the driving path is basically consistent with the actual path.