@inproceedings{25c20621681748aeb4a27215d2de6328,
title = "Real-time road detection with image texture analysis-based vanishing point estimation",
abstract = "Visual perception is a key component of an autonomous vehicle system. Road detection is an essential function of a visual navigation system for an autonomous vehicle. Generally, detecting lane markings is a feasible and efficient approach to road detection. However, this method is not applicable for particular situations, e.g. rural roads without lane markings. Furthermore, lacking of sharp, smooth edges and homogeneous surface brings difficulties to road detection. A texture analysis based vanishing point estimation method is used to detect road in this paper. The idea is that consistency in texture leads to the vanishing point in an image. The method uses the Sobel filter to compute the texture orientations. Then the vanishing point of the road is voted from the orientation of the texture. Finally, the vanishing point is used to constrain the searching of two road boundaries since they pass through the vanishing point.",
keywords = "boundary detection, sobel filter, texture orientation, vanishing point detection",
author = "Zhaozi Zu and Yingtuan Hou and Dixiao Cui and Jianru Xue",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd IEEE International Conference on Progress in Informatics and Computing, PIC 2015 ; Conference date: 18-12-2015 Through 20-12-2015",
year = "2016",
month = jun,
day = "10",
doi = "10.1109/PIC.2015.7489888",
language = "英语",
series = "Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing, PIC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "454--457",
editor = "Liang Xiao and Yinglin Wang",
booktitle = "Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing, PIC 2015",
}