A Review of Lane Perception and Automobile Control Based on Computer Vision

Lane Perception and vehicle control are critical components of driverless intelligent vehicles. Lane Perception provides the external information by image processing algorithms. After information processing, the car control system issued a manipulation instructions to achieve autonomous driving. In this paper, related literatures of lane perception and automobile control in recent years are summarized, as well as basic steps and methods of lane perception. Advantages and disadvantages of typical information processing methods and vehicle control methods are listed. The research direction of lane perception and vehicle control based on computer vision is expounded and established, which lays the foundation for the follow-up study.