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智能车辆中非结构化道路检测技术的研究
引用本文:赵俊梅,张利平. 智能车辆中非结构化道路检测技术的研究[J]. 车辆与动力技术, 2010, 0(4): 10-13,24. DOI: 10.3969/j.issn.1009-4687.2010.04.003
作者姓名:赵俊梅  张利平
作者单位:中北大学,信息与通信工程学院,太原,030051;中北大学,信息与通信工程学院,太原,030051
摘    要:由于非结构化道路环境复杂的特点,非结构化道路边界检测和分割对于智能车辆的道路检测和识别是非常重要的.针对非结构化道路多样性和复杂性,首先对道路图像进行HIS空间变换,减少光照条件的影响.通过利用基于标记的分水岭分割算法对道路图像进行处理,比较几种标记算法,数学形态学效果最佳.最后,利用算法对实际的非结构化道路图像在matlab软件平台进行了仿真实验,证明算法具有一定的实用性.

关 键 词:非结构化道路  数学形态学  分水岭分割  标记

Research on Unstructured Road Detection Technology for Intelligent Vehicles
ZHAO Jun-mei,ZHANG Li-ping. Research on Unstructured Road Detection Technology for Intelligent Vehicles[J]. Vehicle & Power Technology, 2010, 0(4): 10-13,24. DOI: 10.3969/j.issn.1009-4687.2010.04.003
Authors:ZHAO Jun-mei  ZHANG Li-ping
Affiliation:ZHAO Jun-mei,ZHANG Li-ping (School of Information and Communication Engineer,North University of China,Taiyuan,030051,China)
Abstract:Because of its complicated features,the boundary detection and segmentation of an unstructured road is very important for intelligent vehicles in the road detection and recognition.According to the diversity and complexity of an unstructured road,the road images are transformed into HIS space for reducing the influence of the lighting conditions.The images are processed on the marks of watershed segmentation algorithm.Comparing with other three mark algorithms,the result from mathematic morphologic method i...
Keywords:Unstructured road  Mathematic morphology  watershed segmentation  Mark  
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