An intelligent Lane markers recognition and localization system using improved Hough Transform
According to the U.S.National Highway Traffic Safety Administration,single vehicle road departures result in many serious accidents each yearl.An intelligent lane markers recognition and localization system can assist vehicles stay in proper location of a lane that will reduce possibility of car accidents correspondingly.A great deal of lane recognition algorithms have been developed over the past several decades.However,reliable detection is still an issue because of variable road face conditions.An optimum algorithm,Probabilistic Hough Transform (PHT) is presented in this paper for intelligent Lane markers recognition which use a fixed camera installed on the vehicle to transmit video information.The result of experiment proved that under inconsistent illumination and a diversity of road conditions,the accuracy and efficiency of developed system have been improved greatly.
Lane recognition Hough Transform Image Processing
Kamarul Hawari bin Ghazali Rui Xiao Jie Ma
Vision and Intelligent System Research Lab,Faculty of Electrical and Electronics EngineeringUniversity Malaysia Pahang, Pekan Malaysia
国际会议
台湾
英文
1186-1190
2011-12-11（万方平台首次上网日期，不代表论文的发表时间）