DocumentCode
693111
Title
Lane detection algorithm using vanishing point
Author
Wang Jingyu ; Duan Jianmin
Author_Institution
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
Volume
02
fYear
2013
fDate
14-17 July 2013
Firstpage
735
Lastpage
740
Abstract
This paper presents a lane detection method to screen data using the vanishing point according to the perspective feature of the camera. The line data is obtained after Canny and Hough transform of the raw image. The filter conditions are created according to the vanishing point and other location features. The algorithm saves the detected lane and vanishing points in near history. The algorithm clusters and integrates to determine the detection output according to the historical data. Finally, according to the output, a new vanishing point is fitted for the next circuit. The experiments indicate that the algorithm detects the lane accurately and is of parameters self-adaptability and robustness, while improving the utilization of the internal data.
Keywords
Hough transforms; filtering theory; image sensors; object detection; traffic engineering computing; Canny transform; Hough transform; camera feature; filter conditions; intelligent vehicle driving; internal data utilization improvement; lane detection algorithm; lane warning system; vanishing point; Abstracts; Robustness; Runtime; Canny transform; Hough transform; lane detection; screen; vanishing point;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location
Tianjin
Type
conf
DOI
10.1109/ICMLC.2013.6890384
Filename
6890384
Link To Document