Experiments show its effectiveness for localization of mobile robot formation, as well as robustness against environment disturbance.
实验证明该方法能够有效地对编队的移动机器人定位，同时对环境干扰具有鲁棒性。
Finally, the main problems of localization system and map building for autonomous mobile robot and solutions to them are analyzed, and the future trend in this field is pointed out too.
最后，论述了自主式移动机器人定位系统与地图构造中所面临的主要问题及其解决方法并指出了该领域今后的研究方向。
This paper proposes a scene recognition approach for mobile robot localization.
提出了一种基于场景识别的移动机器人定位方法。
In this paper, a new localization method for mobile robot is developed based on a laser range finder.
提出一种基于激光测距雷达的移动机器人定位新方法。
For example, this REP specifies the frames necessary for writing a new localization component. It also specifies frames that can be used to refer to the mobile base of a robot.
例如，本rep指定了写一个定位模块中必须的坐标系，它还指定跟移动机器人底座相关的坐标系。
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。
In this paper, the visual robot localization and map building for the research, design of a monocular vision mobile robot simultaneous localization and map building method of the environment.
本文主要对移动的单个摄像头的自定位和环境特征构建进行了研究，设计了一种单目视觉定位和构建环境特征的方法。
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。
A realtime dynamic object recognition and localization method is presented for mobile robot using binocular vision.
提出了一种双目移动机器人实时动态目标识别与定位方法。
Simultaneous localization and mapping (SLAM) is the key technique in autonomous navigation field and has become a hot issue for mobile robot.
同步定位与地图创建(SLAM)就是实现这一能力的关键技术，是机器人定位领域的热门研究课题之一。
Simultaneous localization and mapping (SLAM) is the key technique in autonomous navigation field and has become a hot issue for mobile robot.
同步定位与地图创建(SLAM)就是实现这一能力的关键技术，是机器人定位领域的热门研究课题之一。
应用推荐