Construction of Vehicle Anti-collision Warning System Based on Monocular Vision Technology and Artificial Intelligence

Abstract

With the popularization of vehicle artificial intelligence technology, safe driving technologies such as vehicle collision avoidance have gradually attracted people's attention. Aiming at the problem of anti-collision of smart vehicles, this article uses monocular vision to determine the position of the target vehicle in the front and back, so as to calculate the distance between the host vehicle and the target vehicle, and give an early warning of possible collisions. The precaution mechanism promptly reminds the driver of dangerous situations, provides the driver with reliable anti-departure instructions and anti-collision warning signals, and is supplemented by sound and light alarms. This paper studies key technologies such as algorithms and early warning schemes for locating roads and vehicles in front, and gives preliminary test results to verify the feasibility and effectiveness of the anti-collision early warning system.