| 采用补偿模糊神经网络识别雨天导航路径的方法研究 |
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| 引用本文： | 金立生,王荣本,郭烈,纪寿文.采用补偿模糊神经网络识别雨天导航路径的方法研究[J].公路交通科技,2005,22(10):110-113,123. |
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| 作者姓名： | 金立生 王荣本 郭烈 纪寿文 |
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| 作者单位： | 1. 吉林大学交通学院,吉林,长春,130025
2. 清华大学汽车工程系,北京,100084 |
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| 基金项目： | 国家自然科学基金资助项目（50175046）;吉林大学青年教师基金资助项目 |
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| 摘 要： | 为实现视觉导航智能车辆对雨天导航路径的准确识别,在分析雨天导航路径特点的基础上,提出了采用补偿模糊神经网络识别雨天导航路径的方法,设计了具有5层结构的补偿模糊神经网络,并分别取大雨、小雨、雨后水迹、雨中模糊反光环境的部分导航路径图像作为样本进行训练,又采用剩余部分路径图像进行了识别试验,试验结果表明该方法能够很好的识别雨天导航路径,并具有较强的实时性。
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| 关 键 词： | 模式识别 补偿模糊神经网络 智能车辆 视觉导航 |
| 文章编号： | 1002-0268（2005）10-0110-04 |
| 收稿时间： | 2004-07-06 |
| 修稿时间： | 2004-07-06 |
Study on Rainy Day Navigation Path Recognition by Compensatory Fuzzy Neural Network for Vision Intelligent Vehicle |
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| JIN Li-sheng,WANG Rong-ben,GUO Lie,JI Shou-wen.Study on Rainy Day Navigation Path Recognition by Compensatory Fuzzy Neural Network for Vision Intelligent Vehicle[J].Journal of Highway and Transportation Research and Development,2005,22(10):110-113,123. |
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| Authors: | JIN Li-sheng WANG Rong-ben GUO Lie JI Shou-wen |
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| Institution: | 1. Transportation College, Jilin University, Jilin Changchun 130025, China; 2. Automobile Department, Tsinghua University, Beijing 100084, China |
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| Abstract: | In order to recognize the navigation path on rainy day for vision navigation intelligent vehicle,the compensatory fuzzy neural network(CFNN) is developed on the basis of analyzing the characters of the rainy day navigation path images. The structure of the CFNN with five layers is designed,and actual images of rain in big rain,small rain,water vestige after rain,blurred and glisten of water are used to train and test the CFNN.The experimental results show that the method is effective to recognize the navigation path correctly and quickly. |
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| Keywords: | Pattern recognition Compensatory fuzzy neural network Intelligent vehicle Vision navigation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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