学术
摘 要:
为提高农用车辆视觉导航系统对不同环境的适应性,研究了田间地头、天空以及树木等复杂环境对路径识别的影响.提出用一种新的中心线检测算法来取代原有的细化算法;用腐蚀算法代替原有的中值滤波;据此设计了适合复杂环境的路径识别方法.大量的田间试验证明,该方法对普通环境和复杂环境均具有较好的适应性,能够快速、可靠、准确地提取导航路径特征.[著者文摘]
文章出处:
《江苏大学学报：自然科学版》-2007年28卷6期 -482-486页
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1671-7775（2007）06-0482-05
Path recognition method for vision navigation of agricultural vehicle
ZHAO Bo, ZHU Zhong-xiang, SONG Zheng-he, XIE Bin, MAO En-rong （College of Engineering, China Agricultural University, Beijing 100083, China）
Abstract:
In order to improve the adaptability of the vision navigation system to various environments for the agricultural vehicles, the influence of the complicated environment on the path recognition was investigated. A new algorithm of the center line detecting was proposed instead of the traditional thinning algorithm; the erosion algorithm was applied instead of the traditional medium filtering algorithm. A new method for the path recognition under the complicated environments was designed. Large field experimental results prove that the new method is effective on both simple and complicated environments, and can obtain the target navigation path rapidly, reliably and accurately.[著者文摘]
Key words:
agricultural vehicle; path recognition ; vision navigation ; center line detecting ; erosion algorithm
基金资助:
国家高技术研究发展计划资助项目（863计划）（2006AA10A304）
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