Design of Intelligent Road Recognition and Warning System for Vehicles Based on Binocular Vision

Abstract

With the development of the global science and technology and economic scale, the automobile industry is also growing. The significant increase in the number of cars held per capita has caused many problems, and the most serious problem is the frequent traffic accidents. As a result, the research on automotive safety technology has emerged, and the driving safety aid system has become a research hotspot. As one of the auxiliary safety driving systems, the road vision warning system based on binocular vision has become a hot spot. By processing the road environment information collected by the camera installed on the car, to obtain the position information of the obstacle in front, combined with the speed of the vehicle and the road conditions, to generate corresponding countermeasures to ensure the driving safety, based on which the occurrence of vehicle collisions and rear-end collisions in traffic accidents can be reduced. Based on this background, this paper is focused on intelligent vehicle road recognition and warning system design. The visual system function of intelligent vehicles is analyzed first, through which the binocular vision system can be roughly divided into five parts. Then, the safety distance and synchronous motor mathematical model is established, based on which the alarm distance and measured distance are compared to decide whether to give alarm information. Finally, the road early warning system is established, combined with the corresponding vehicle control strategy to obtain an early warning system framework. Based on the simulation experiments, it is proved that the initial expected results can be achieved on this system.