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。
This thesis focuses on the development of an indoor autonomous mobile robot, obstacle recognition and SLAM (Simultaneous Localization and Mapping) problems for indoor mobile robot.
本文主要针对室内自主式移动机器人开发及其室内环境障碍物识别和同时定位与地图创建问题开展研究工作。
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