Title :
A road boundary detection method for autonomous land vehicle
Author :
Tang, Guowei ; Liu, Xiande ; Liu, Xianmei ; Yang, Hui
Author_Institution :
Dept. of Comput. Sci. & Eng., Daqing Pet. Inst., Heilongjiang, China
Abstract :
A road boundary detection method based on statistical test is proposed in which edge location and edge orientation are considered. The evidence of global boundaries on the road image can be obtained by means of statistical model analysis. Through statistical test, a multi-order line segment description of the road boundaries is achieved. The results are satisfied when this method is used in structured road image with dim shadows.
Keywords :
edge detection; feature extraction; image segmentation; mobile robots; road vehicles; Autonomous Land Vehicle; edge location; edge orientation; image segmentation; road boundary detection; road image; road segmentation; statistical test; Computer science; Data mining; Image edge detection; Image segmentation; Intelligent robots; Land vehicles; Roads; Testing; Vehicle detection; Vehicle dynamics;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020066
