工程设计学报2013，Vol.20Issue(2)：157-162,6.DOI:10.3785/j.issn.1006-754X.2013.02.014
基于多模型结合优化的非结构化道路检测算法
Unstructured road-detection algorithm based on multiple models and optimization
摘要
Abstract
Unstructured road-detection has been a difficulty in the road-detection algorithms. An unstructured road-detection approach based on color Gaussian mixture model and parabolic model was presented. First we took the full-resolution color image and produced a low-resolution color image by a combination of averaging filtering and sub-sampling, and had illumination compensation. Then we formulated Gaussian mixture model based on K-means algorithm, which was optimized clustering center for the road area and the other areas. Next we solved these parameters of right and left road parabolic models by the least square method. Lastly, we fitted the boundary of the road and achieved the extraction of it. The experimental results show that this approach has robustness against uneven illumination, shadows and reliability improving the processing speed.关键词
非结构化道路检测/光照补偿/彩色混合高斯模型/K-means算法/抛物线道路模型Key words
unstructured road-detection/ illumination compensation/ color Gaussian mixture model/ K-means algorithm/ parabolic model分类
信息技术与安全科学引用本文复制引用
刘媛,宋晓琳,张伟伟..基于多模型结合优化的非结构化道路检测算法[J].工程设计学报,2013,20(2):157-162,6.基金项目
国家自然科学基金资助项目(51175159). （51175159）
