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机构地区:[1]School of Information Science and Engineering,Central South University
出 处:《Journal of Central South University》2012年第2期522-526,共5页中南大学学报(英文版)
基 金:Projects(90820302,60805027)supported by the National Natural Science Foundation of China;Project(200805330005)supported by the PhD Programs Foundation of Ministry of Education of China;Project(20010FJ4030)supported by the Academician Foundation of Hunan Province,China
摘 要:Intelligent vehicle needs the turn light information of front vehicles to make decisions in autonomous navigation. A recognition algorithm was designed to get information of turn light. Approximated center segmentation method was designed to divide the front vehicle image into two parts by using geometry information. The number of remained pixels of vehicle image which was filtered by the morphologic feaatres was got by adaptive threshold method, and it was applied to recognizing the lights flashing. The experimental results show that the algorithm can not only distinguish the two turn lights of vehicle but also recognize the information of them. The algorithm is quiet effective, robust and satisfactory in real-time performance.Intelligent vehicle needs the turn light information of front vehicles to make decisions in autonomous navigation. A recognition algorithm was designed to get information of turn light. Approximated center segmentation method was designed to divide the front vehicle image into two parts by using geometry information. The number of remained pixels of vehicle image which was filtered by the morphologic features was got by adaptive threshold method, and it was applied to recognizing the lights flashing. The experimental results show that the algorithm can not only distinguish the two turn lights of vehicle but also recognize the information of them. The algorithm is quiet effective, robust and satisfactory in real-time performance.
关 键 词:intelligent vehicle turn light recognition adaptive threshold front vehicle
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] U463.6[自动化与计算机技术—计算机科学与技术]
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