In order to realize lane mark identifying and tracking on such conditions as uneven road surface materials and different illumination etc, this paper proposes a new method which combines an image segmentation technique based on maximum entropy with a bi-normalized adjustable template. First, applying image window variation technology, this method first realizes the better road image segmentation based on maximize one-dimension entropy. Second, lane mark parameters can be acquired based on the bi-normalized adjustable template. Finally lane mark real-time tracking is realized by applying trapezia AOI method.
Lane mark segmentation method based on maximum entropy
2005-01-01
396516 byte
Conference paper
Electronic Resource
English
Lane Mark Segmentation Method Based on Maximum Entropy
British Library Conference Proceedings | 2005
|Image Segmentation Using Maximum Entropy Method
British Library Conference Proceedings | 1994
|LANE MARK RECOGNITION DEVICE, LANE MARK RECOGNITION METHOD, AND VEHICLE
European Patent Office | 2015
|