农业轮式移动机器人在阴影环境中的路径识别方法

2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT) Pub Date : 2010-04-17 DOI:10.1109/EDT.2010.5496583

Zhao Bo, Mao Wen Hua, Song Zheng. He, Mao En. Rong

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引用次数: 6

摘要

研究了阴影环境对农业轮式移动机器人视觉导航系统路径识别的影响。在普通环境下路径识别的基础上，将基于SOM神经网络的路径识别方法应用于阴影环境下的路径识别。实验结果表明，该方法在阴影环境下是有效的，能够快速、可靠、准确地获得目标导航路径。

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Path recognition method of agricultural wheeled-mobile robot in shadow environment

This paper investigated the influence of the shadow environment on the path recognition for the vision navigation system of the agricultural wheeled-mobile robot. In base of path recognition in the ordinary environment, a new method based on the SOM neural network was applied to the path recognition in the shadow environment. Experimental results proved that the new method was effective on the shadow environment, and could obtain the target navigation path rapidly, reliably and accurately.

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2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)

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