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)
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...