Computer vision for self-driving vehicles

Abstract

Identifying lane and obstacles is one of the most difficult issues in self-driving vehicles. Any change in road conditions, and even light changes, also affected lane and obstacle identification. This paper presents a technique for detecting lane and obstacles applied to self-driving vehicles based on computer vision. The obstacles and lanes will be determined by the edge detetection and hough algorithm. The experimental results show that the system accurately identifies lane and road obstacles in real time.