Title :
A study on image processing technology for autonomous vehicle
Author :
Kageyama, Ichiro ; Sasaki, Tomoaki
Author_Institution :
Nihon Univ., Narashino, Japan
Abstract :
A method is described to recognize the white lane markers using image processing for an autonomous vehicle. There are many recognition methods for white lane markers. Many of them use a binary representation of the differential values of brightness. Sometimes, it is difficult to recognize markers, for example within shadows. Therefore, we propose an image processing method for recognizing lane markers using a certainty value. It is shown that white lane makers are recognized using the certainty value even in poor visibility conditions such as shadows. Finally, we have carried out an experiment for an autonomous vehicle using this recognition method, and the significance of this method was confirmed
Keywords :
computer vision; image recognition; optical tracking; position control; road vehicles; CCD camera; autonomous vehicle; binary images; certainty value; computer vision; image processing; shadow; tracking; white lane marker recognition; Brightness; Charge coupled devices; Charge-coupled image sensors; Global Positioning System; Image processing; Image recognition; Mobile robots; Remotely operated vehicles; Road accidents;
Conference_Titel :
Intelligent Vehicles Symposium, 1996., Proceedings of the 1996 IEEE
Conference_Location :
Tokyo
Print_ISBN :
0-7803-3652-6
DOI :
10.1109/IVS.1996.566414
