| 基于视觉传感器的自主车辆地面自动辨识技术研究 |
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| 引用本文： | 崔根群,余建明,赵娴,赵丛琳. 基于视觉传感器的自主车辆地面自动辨识技术研究[J]. 现代电子技术, 2011, 34(10): 8-11,16 |
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| 作者姓名： | 崔根群 余建明 赵娴 赵丛琳 |
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| 作者单位： | 河北工业大学机械学院,天津,300130 |
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| 基金项目： | 河北省自然科学基金资助项目 |
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| 摘 要： | 该自主车辆地面自动辨识技术是以Leobot—Edu自主车辆作为试验载体，并应用DH—HV2003UC-T视觉传感器对常见的5种行车路面（石子路面、水泥路面、土壤路面、草地路面、砖地路面）进行图像信息的采集，应用Matlab图像处理模块对其依次进行压缩编码、复原重建、平滑、锐化、增强、特征提取等相关处理后，再应用MatlabBP神经网络模块进行模式识别。通过对模式识别结果分析可知，网络训练目标的函数误差为20％，该系统路面识别率达到预定要求，可以在智能车辆或移动机器人等相关领域普及使用。
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| 关 键 词： | 自主车辆 视觉传感器 图像处理 模式识别 |
Study on Ground Automatic Identification Technology for Intelligent Vehicle Based on Vision Sensor |
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| CUI Gen-qun,YU Jian-ming,ZHAO Xian,ZHAO Cong-lin. Study on Ground Automatic Identification Technology for Intelligent Vehicle Based on Vision Sensor[J]. Modern Electronic Technique, 2011, 34(10): 8-11,16 |
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| Authors: | CUI Gen-qun YU Jian-ming ZHAO Xian ZHAO Cong-lin |
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| Affiliation: | CUI Gen-qun,YU Jian-ming,ZHAO Xian,ZHAO Cong-lin(College of Mechanical Engineering,Hebei University of Technology,Tianjin 300130,China) |
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| Abstract: | The ground automatic identification technology for intelligent vehicle is taking Leobot-Edu autonomous vehicle as a test vector and using DH-HV2003UC-T vision sensor to collect image information of five common lane roads(cobbled road,concrete road,dirt road,grass road,tile road),then using MATLAB image processing module to perform coding compression,recovery reconstruction,smoothing,sharpening,enhancement,feature extraction and other related processing,then using MATLAB BP neural network module to carry on ... |
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| Keywords: | intelligent vehicle vision sensor image processing pattern recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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