Vehicle detection techniques for collision avoidance systems a review
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Vehicle detection techniques for collision avoidance systems a review
- 1. # 23 A, II Floor, SKS Complex Bus Stand Opposite, Karur-1 99436-99916, 99436-99926, 99436-99936 VEHICLE DETECTION TECHNIQUES FOR COLLISION AVOIDANCE SYSTEMS A REVIEW ABSTRACT Over the past decade, vision-based vehicle detection techniques for road safety improvement have gained an increasing amount of attention. Unfortunately, the techniques suffer from ro bustness due to huge variability in vehicle shape (particularlyfor motorcycles), cluttered environment, various illumination conditions, and driving behavior. In this paper, we provide a comprehend sivesurvey in a systematic approach about the state-of-the-arton-road vision-based vehicle detection and tracking systems forcollision avoidance systems (CASs). This paper is structured based on a vehicle detection processes starting from sensor selection tovehicle detection and tracking. Techniques in each process/stepare reviewed and analyzed individually. Two main contributions in this paper are the following: survey on motorcycle detectiontechniques and the sensor comparison in terms of cost and rangeparameters. Finally, the survey provides an optimal choice with alow cost and reliable CAS design in vehicle industries.