1 February 1994 Color road segmentation for autonomous land vehicle (ALV) road following
Author Affiliations +
Proceedings Volume 2058, Mobile Robots VIII; (1994) https://doi.org/10.1117/12.167510
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
As the efficiency of road segmentation has a direct effect on the reliability of road following and planning -- and consequently the speed of the Autonomous Land Vehicle (ALV) -- road segmentation is one of the most preliminary and important tasks for the road following and planning of ALV, and a variety of methods for color road segmentation have been proposed. This presentation proposes a new data-fusion-based color road segmentation method in which a pyramid-based data structure and the corresponding region splitting and combination techniques for the classification of sensed areas are adopted. In the segmentation process, the roads are first segmented in two 1-D color spaces, and the data fusion technique is then used to combine the two classification results, improving the accuracy of the road segmentation.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei-Jian Liu, Lei-Jian Liu, Yong-Ge Wu, Yong-Ge Wu, Ke Liu, Ke Liu, Jingyu Yang, Jingyu Yang, } "Color road segmentation for autonomous land vehicle (ALV) road following", Proc. SPIE 2058, Mobile Robots VIII, (1 February 1994); doi: 10.1117/12.167510; https://doi.org/10.1117/12.167510


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