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In wireless sensor networks, the node self-localization is vital and promising to a wide scope of both military and civilian applications.
无线传感器网络中，节点的自身定位至关重要，在军事和民用领域中有着广泛的应用前景。
This paper proposes a global self-localization method and navigation strategies for indoor mobile robot, based on monocular vision and multi-sonar sensors to recognize the doorplate.
提出了一种采用单目视觉和多超声传感器来识别门牌号的室内移动机器人全局自定位方法和导航策略。
Self-localization navigation and map building is two crucial problems in the research of mobile robots.
自定位导航和地图创建是移动机器人研究的两个重要课题。
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