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基于CBL的双目视觉自主机器人定位 被引量:5

CBL-based robot localization using binocular vision
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摘要 在需要机器人做出快速反应的环境中,为了解决通过廉价传感器(彩色视觉)实现自主机器人的定位,提出了基于约束路标(CBL)的双目视觉自主机器人定位方法.在CBL的路标测量类型中增加了直线的斜率,同时双目视觉的协作为定位提供了更多信息,提高了机器人位姿估计的准确度.实验结果表明了该方法的可行性和有效性. An approach is presented to solve the robot localization for environment which needs robot's highly reactive ability, such as robot soccer. This localization method is based on constraint-based landmark localization (CBL). It expands CBL's landmark measurement types, and line slope. And binocular vision provides more information to localization. Experimental results show that this localization method is effective and corrective.
出处 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2004年第7期896-898,共3页 Journal of Harbin Institute of Technology
基金 国家高技术研究发展计划资助项目(2001AA422270).
关键词 机器人足球 自主定位 基于约束的路标定位 双目视觉 Algorithms Binocular vision Distance measurement Navigation Sensors
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参考文献7

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二级参考文献7

  • 1Myung Jin Jung, Jun Su Jang, Jong Hwan Kim (Dept. of Electrical Engineering and Computer Science, KAIST, Taejon shi, 305 701 Republic of Korea).Development of RoboSot category soccer robots[J].Journal of Harbin Institute of Technology(New Series),2001,8(3):300-302. 被引量:2
  • 2罗志增 蒋静坪.机器人感觉与多信息融合[M].北京:机械工业出版社,2003..
  • 3YOSHINORI S, TOMOHIRO N. A Motion Tracking by Extracting 3D Feature of Moving Object with Binocular Cooperative Fixation[ A] , Proceeding of the 2002 IEEE/RSJ Intl[C], Lausanne, Switzerland: IEEE/RSJ Intl,2002. 13 - 18.
  • 4LIMAA P, BONARINI A, MACHADOC C, et al. Omnidirectional catadioptric vision for soccer robots [ J ]. Robotics and Autonomous Systems, 2001,36(2) :87 -102.
  • 5KRAETZSCHMAR G K, ENDERLE S. Self-localization using sporadic features [J]. Robotic and Autonomous Systems, 2002,40(2) :111 - 119.
  • 6罗志增 蒋静坪.机器人感觉与多信息融合[M].北京:机械工业出版社,2003..
  • 7蔡自兴,贺汉根,陈虹.未知环境中移动机器人导航控制研究的若干问题[J].控制与决策,2002,17(4):385-390. 被引量:119

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