| 基于多传感器信息融合的机器人自定位方法 |
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| 引用本文： | 毛臣健.基于多传感器信息融合的机器人自定位方法[J].科技通报,2012,28(2):146-148. |
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| 作者姓名： | 毛臣健 |
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| 作者单位： | 重庆工业职业技术学院,重庆,401120 |
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| 摘 要： | 基于现有定位方法无法满足RoboCup足球机器人比赛中的定位要求,本文提出了一种基于多传感器信息融合的场景定位方法。以全向视觉与电子罗盘作为传感器,采用基于目标与数据驱动的方式作为其融合控制结构,产生式规则作为其数据融合的方法。实验证明,在现有大场地比赛范围内,该方法可以有效地实现机器人的自定位。
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| 关 键 词： | 机器人 自定位 信息融合 产生式规则 |
The Robot Self-Localization Method based on Multi-Sensors Information Fusion |
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| MAO Chenjian.The Robot Self-Localization Method based on Multi-Sensors Information Fusion[J].Bulletin of Science and Technology,2012,28(2):146-148. |
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| Authors: | MAO Chenjian |
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| Institution: | MAO Chenjian(Chongqing Industry Polytechnic College,Chongqing 401120,China) |
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| Abstract: | According to the self-localization requirement of RoboCup soccer robot,this paper presented a new self-localization method based on multi-sensors information fusion.The basic sensors used omni-directional vision and compass,goal and data driven as the fusion control structure,production rule as the fusion way.The experiments showed the validity for the presented method in large game scene. |
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| Keywords: | robot self-localization information fusion production rule |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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