Local Path Planning for Autonomous Vehicle Based on Artificial Potential Field Algorithm

Applying the artificial potential field algorithm to the intelligent vehicle path planning, it is proposed to use the minimum safe distance as the symmetry according to the sinusoidal obstacle avoidance model. The method of constructing the obstacle point model ensures that the local target point is on the axis of symmetry, and the steering angle is made by the intelligent vehicle traveling speed and the turning radius. Finally, we verified the feasibility and accuracy of the algorithm through the joint simulation of Prescan and Matlab software. The simulation results show that the algorithm can plan a smooth target path and realize the smooth and safe path planning and tracking control of intelligent vehicles.