Research on Vision Recognition and Tracking for Corridor of Autonomous Driving Robot

Abstract

The speed of image recognition and tracking is a key factor of the effect of autonomous driving in the research on problem of autonomous driving which is realized by image-based road recognition technology.The paper uses model-based corridor recognition technique and adopts genetic algorithm,which is used like the optical process of human being to recognize and track the target in the real-time image,and realizes an autonomous driving robot system.In addition,the system also realizes the recognition of the corridor corner by analyzing the variation ratio of the model matching value.The experimental results indicate that the high speed of corridor recognition and tracking,in this method can meet the real-time request of the system,and has high degree of reliability.