| 农业车辆视觉实际导航环境识别与分 |
| |
| 引用本文： | 赵博,王猛,毛恩荣,张小超,宋正河.农业车辆视觉实际导航环境识别与分[J].农业机械学报,2009,40(7):166-170. |
| |
| 作者姓名： | 赵博 王猛 毛恩荣 张小超 宋正河 |
| |
| 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 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划) |
| |
| 摘 要： | 分析了对路径识别影响较大的变光照环境、杂草环境和阴影环境对农业车辆导航路径的影响,提出一种实际环境中的农业车辆视觉导航研究方法,即先采用神经网络算法对农田环境进行自动分类,然后再相应的选择不同的路径识别方法进行处理.环境识别与分类试验结果证明,该方法能够提高农业车辆视觉导航系统的实用性和可靠性,导航环境的分类准确率为95%,单幅图像平均耗时23 ms.
|
| 关 键 词： | 农业车辆 视觉导航 实际环境 路径识别 神经网络 |
and Classification for Vision Navigation Application Environment of Agricultural Vehicle |
| |
| Zhao Bo,Wang Meng,Mao Enrong,Zhang Xiaochao,Song Zhenghe.and Classification for Vision Navigation Application Environment of Agricultural Vehicle[J].Transactions of the Chinese Society of Agricultural Machinery,2009,40(7):166-170. |
| |
| Authors: | Zhao Bo Wang Meng Mao Enrong Zhang Xiaochao Song Zhenghe |
| |
| Institution: | 1.Chinese Academy of Agricultural Mechanization Sciences;Beijing 100083;China 2.College of Engineering;China Agricultural University;China |
| |
| Abstract: | The influence of the various illumination,weed,and shadow environment to the path recognition was investigated.A new research method for vision navigation system of agricultural vehicle in the application environment was proposed.The various navigation environments were classified automatically by neural network.According to classification results,different path recognition methods were applied in navigation system.Experimental results of the recognition and the classification prove that the method is effec... |
| |
| Keywords: | Agricultural vehicle Vision navigation Application environment Path recognition Neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《农业机械学报》浏览原始摘要信息 |
| 点击此处可从《农业机械学报》下载免费的PDF全文 |
|
