标题:Lane detection and fitting using the Artificial Fish Swarm Algorithm(AFSA) based on a parabolic model
作者:Xiaojin Wang;Zengcai Wang;Lei Zhao;
作者机构:[Xiaojin Wang;Zengcai Wang;Lei Zhao]School of Mechanical Engineering, Shandong University;[Xiaojin Wang;Zengcai Wang;Lei Zhao]Key Laboratory of High E 更多
来源:Proceedings of 2016 International Conference on Automotive Engineering,Mechanical and Electrical Engineering(AEMEE 2016)
出版年:2016
关键词:Image preprocessing;Parabolic model;FIR filter;AFSA
摘要:This paper presents a novel optimisation algorithm for lane detection and fitting. We use the Artificial Fish Swarm Algorithm(AFSA) which is based on a parabolic lane boundary model to solve our boundary detection problem. Initially, the RGB road image is transformed into intensity images. We then u...
资源类型:会议论文
原文链接:http://kns.cnki.net/kns/detail/detail.aspx?FileName=ZCSD201612001072&DbName=IPFD2017
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