Path Planning and Simulation of Dynamic Obstacle Avoidance for Unmanned Vehicle

摘要

The unmanned vehicle is an important direction for the future automotive industry.Dynamic obstacle avoidance is the core technology of the unmanned vehicle.In this article,we control both the velocity and the direction of the unmanned vehicle using the genetic algorithm,proposing an innovative optimization function to plan the optimized collision-free path.Then we estahlished the Simulink model and executed the simulation.Finally,we analyzed the selection of paths under different weight coefficients.