Vision-based vehicle identification strategies for improving road safety have gotten much attention in the last decade. Unfortunately, the techniques are not very robust due to detecting the wide range of vehicle shapes, crowded environments, different lighting situations, and driving behavior. Accidents are becoming increasingly common and unpredictable. Accidents result in the most severe damage, severe injury, and even death. The majority of these collisions are caused by the driver’s failure to hit the brakes promptly. Preventive measures such as improved visibility, auto headlamps, windshield wipers, and tyre traction lessen the chances of getting into an accident. A Vehicle Collision Avoidance System aims to develop safety features in automobiles that prevent collisions with other vehicles or obstacles in the road. These technologies are convenient in inclement weather. While driving, the main goal of these devices is to prevent car collisions caused by negligence or blind spots. As a result, the focus of this review paper is on vehicle accident prevention systems.
Automotive Collision Avoidance System: A Review
Studies in Systems, Decision and Control
Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications ; Kapitel : 1 ; 1-19
2022-02-24
19 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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