| 农业车辆杂草环境下视觉导航路径识别方法 |
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| 引用本文： | 赵博,毛恩荣,毛文华,张小超,宋正河. 农业车辆杂草环境下视觉导航路径识别方法[J]. 农业机械学报, 2009, 40(Z1): 183-186 |
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| 作者姓名： | 赵博 毛恩荣 毛文华 张小超 宋正河 |
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| 作者单位： | 1. 中国农业机械化科学研究院,北京,100083
2. 中国农业大学工学院,北京,100083 |
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| 基金项目： | 国家自然科学基金资助项目,国家863高技术研究发展计划资助项目 |
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| 摘 要： | 在普通环境导航路径识别方法的基础上,分析了株间杂草和垄间杂草对农业车辆导航路径的影响.针对影响较大的垄间杂草环境,提出一种基于BP神经网络的杂草环境下导航路径识别方法.田间实验证明,该方法对杂草的影响具有较好的适应性,能够快速、可靠、准确地提取导航路径特征,识别率为97%,单幅图像平均耗时560ms.
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| 关 键 词： | 杂草环境 视觉导航 路径识别 BP神经网络 |
for Vision Navigation System of Agricultural Vehicle in Weed Environment |
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| Zhao Bo Mao Enrong Mao Wenhua Zhang Xiaochao Song Zhenghe. for Vision Navigation System of Agricultural Vehicle in Weed Environment[J]. Transactions of the Chinese Society for Agricultural Machinery, 2009, 40(Z1): 183-186 |
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| Authors: | Zhao Bo Mao Enrong Mao Wenhua Zhang Xiaochao Song Zhenghe |
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| Affiliation: | 1.Chinese Academy of Agricultural Mechanization Sciences;Beijing 100083;China 2.College of Engineering;China Agricultural University;China |
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| Abstract: | The effect of the weed environment on the path recognition is investigated.On the basis of the conventional path recognition method,a new method based on the BP neural network for the path recognition in the weed environment is proposed.Experimental results prove that the new method is effective for the path recognition in the weed environment,and can obtain the target navigation path rapidly, reliably and accurately.The recognition correct rate is 97%,and the average cost time is 560 ms. |
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| Keywords: | Weed environment Vision navigation Path recognition BP neural network |
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