Design and Implementation of Autonomous Path Planning for Intelligent Vehicle

Abstract

With the development of artificial intelligence, the position of intelligent car in social life has become particularly important. The autonomous path of the smart car is divided into long distance and short distance. In order to improve the autonomous path planning ability of the smart car, we use WIFI to control the mobile end of the smart car, carry out autonomous tracking and autonomous obstacle avoidance in the short distance, and realize the optimization of the shortest path algorithm based on Dijkstra algorithm in the long distance. Based on the Raspberry Pi development board, the environment is installed and configured, the infrared sensor is used as the ranging device, and the optical code plate is used as the directional sensor of the car body bearing reckoning, and the motion control model of the smart car is established. The artificial potential field path planning method is used to realize the autonomous obstacle avoidance, optimal path searching and mobile terminal control of the intelligent car. The experimental results show that our design is efficient. And it has practical application value for fire truck path planning, remote control system, etc.