| 自然环境下果实定位的误差修正方法研究 |
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| 引用本文： | 仲琴,毛罕平,王新忠.自然环境下果实定位的误差修正方法研究[J].机械制造,2006,44(6):25-26. |
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| 作者姓名： | 仲琴 毛罕平 王新忠 |
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| 作者单位： | 1. 江苏技术师范学院机械与汽车工程学院,常州·213001
2. 江苏大学农业装备研究院 |
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| 摘 要： | 对用双目立体视觉技术来测定番茄果实空间位置中存在的误差原因进行了分析，提出采用神经网络的方法对误差进行修正，建立网络模型和训练系统，并对测试样本进行仿真实验。实验结果表明，绝对误差可以控制在0～5mm之间，达到了收获机器人定位精度的要求。
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| 关 键 词： | 双目立体视觉 空间定位 误差分析 神经网络 误差修正 |
| 文章编号： | 1000-4998（2006）06-0025-02 |
| 收稿时间： | 2005-12 |
| 修稿时间： | 2005-12 |
Error Amendment Approach to Locating Fruits in Natural Environment |
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| Zhong Qin, et al.Error Amendment Approach to Locating Fruits in Natural Environment[J].Machinery,2006,44(6):25-26. |
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| Authors: | Zhong Qin |
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| Abstract: | The causes of errors existing in the measurement of three-dimensional coordinates of the tomato with the help of binocular vision technology are analyzed. Then it is pointed out that the errors can be amended by means of building a neural net model and a corresponding training system. A simulation experiment is also carried out on the test sample. The experiment indicates that the errors can be controlled in the range of 0 - 5 mm, thus meeting the requirement for positioning of robots harvesting fruits. |
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| Keywords: | Binocular Three-dimensional Vision Three-dimension Orientation Error Analysis Neural Net Error Amendment |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
