Autonomous Land Vehicle Path Planning Based on Learning Classifier System in Narrow Environments

A collision avoidance path planning method based on LCS(learning classifier system) is present,and an integrated fitness function to solve ALV's(autonomous land vehicle) path optimization problem is designed in the narrow environment under safe collision avoidance.Different environment simulation results show that ALV's path planning is convergent by combining genetic algorithms and learning classifier system,and ALV's capabilities of quickly finding the secure path in the narrow environments is improved.