A lane-detection method aimed at handling moving vehicles in the traffic scenes is proposed in this brief. First, lane marks are extracted based on color information. The extraction of lane-mark colors is designed in a way that is not affected by illumination changes and the proportion of space that vehicles on the road occupy. Next, for vehicles that have the same colors as the lane marks, we utilize size, shape, and motion information to distinguish them from the real lane marks. The mechanism effectively eliminates the influence of passing vehicles when performing lane detection. Finally, pixels in the extracted lane-mark mask are accumulated to find the boundary lines of the lane. The proposed algorithm is able to robustly find the left and right boundary lines of the lane and is not affected by the passing traffic. Experimental results show that the proposed method works well on marked roads in various lighting conditions
Lane Detection With Moving Vehicles in the Traffic Scenes
IEEE Transactions on Intelligent Transportation Systems ; 7 , 4 ; 571-582
2006-12-01
865549 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
CORRESPONDENCE - Lane Detection With Moving Vehicles in the Traffic Scenes
Online Contents | 2006
|Vision-Based Lane Detection Algorithm in Urban Traffic Scenes
Springer Verlag | 2014
|Vision-Based Lane Detection Algorithm in Urban Traffic Scenes
Tema Archiv | 2014
|Vision-Based Lane Detection Algorithm in Urban Traffic Scenes
British Library Conference Proceedings | 2014
|Lane Detection System for Night Scenes
British Library Conference Proceedings | 2018
|