面向大规模室内环境，研究了基于全向视觉的移动机器人自定位。
Towards large-scale indoor environment, a novel metric-topological 3D map is proposed for robot self- localization based on omnidirectional vision.
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。
Self-localization navigation and map building is two crucial problems in the research of mobile robots.
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。
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.
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