期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2013
卷号：4
期号：6
页码：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Road region recognition is a main feature that is gaining increasing attention from intellectuals because ithelps autonomous vehicle to achieve a successful navigation without accident. However, differenttechniques based on camera sensor have been used by various researchers and outstanding results havebeen achieved. Despite their success, environmental noise like shadow leads to inaccurate recognition ofroad region which eventually leads to accident for autonomous vehicle. In this research, we conducted aninvestigation on shadow and its effects, optimized the road region recognition system of autonomousvehicle by introducing an algorithm capable of detecting and eliminating the effects of shadow. Theexperimental performance of our system was tested and compared using the following schemes: TotalPositive Rate (TPR), False Negative Rate (FNR), Total Negative Rate (TNR), Error Rate (ERR) and FalsePositive Rate (FPR). The performance result of the system improved on road recognition in shadowscenario and this advancement has added tremendously to successful navigation approaches forautonomous vehicle.
