Title :
Approach to lane departure detection
Author :
Gangyi, Jiang ; Yanhua, Chen ; Mei, Yu ; Yi, Zheng
Author_Institution :
Artificial Intelligence & Pattern Recognition Open Lab., Shantou Univ., China
Abstract :
An approach to lane departure detection, based on image processing and computer vision, is proposed for a driver assistant system. A new description of lane markings in the image plane is presented, and some properties are discussed and used to locate lanes. Multi-frame lane detection and analysis are adopted so that lane departure detection method is more reliable. Lane departure is analyzed and lane parameters are estimated and used for lateral control. Experimental results show that the proposed approach performs lane departure detection efficiently
Keywords :
automated highways; computer vision; driver information systems; road traffic; traffic control; computer vision; driver assistant system; image plane; image processing; lane departure detection; lane markings; lane parameters estimation; lateral control; multi-frame lane analysis; multi-frame lane detection; road traffic; Artificial intelligence; Computer vision; Control systems; Gray-scale; Parameter estimation; Pattern recognition; Road vehicles; Safety; Vehicle detection; Vehicle driving;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891685
