赵颖,孙群,陈兵旗,王书茂.基于机器视觉的非结构化道路导航路径检测方法[J].农业机械学报,2007,38(6):202-204.
.[J].Transactions of the Chinese Society for Agricultural Machinery,2007,38(6):202-204.
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基于机器视觉的非结构化道路导航路径检测方法   [下载全文]
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DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  机器视觉  非结构化道路  导航路径  改进Hough变换
基金项目:
赵颖  孙群  陈兵旗  王书茂
聊城大学
中文摘要:针对视觉导航智能机器人,提出了一种非结构化道路导航路径的检测方法。以道路两边缘线的中间线作为导航路径,首先使用亮度分析的方法判断图像中道路的终止位置;然后采用基于扫描线上像素分布的分割方法提取出导航路径上的候选点;最后采用基于一点的改进Hough变换方法提取导航路径的参数,进行非结构化道路的检测。经过对多幅图片的处理,证明该算法具有速度快、抗干扰能力强、准确性高等优点。
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Abstract:

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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