首页> 外文会议>5th International Symposium on Test and Measurement (ISTM/2003) Vol.6 Jun 1-5, 2003 Shenzhen, China >Self-Localization Based on the doorplate Recognition for Indoor Mobile Robot
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Self-Localization Based on the doorplate Recognition for Indoor Mobile Robot

机译:基于门板识别的室内移动机器人自我定位

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ft is hard for the robot to navigate itself in unknown environments without a map. The robot must know its positions and the destination positions at intervals. Many methods make the robot position itself accurately. However, the robot should be equipped with more precision sensors and move slowly to process the environment information sensors detected. This paper proposes a method for navigating the robot to its destination room by recognizing rooms' number in corridors. We use doorplates, which are attached with a room number respectively, as natural landmarks. The method represents the robot position in the global frame based on the navigation behavior of human. A general architecture of our robot, the strategy of searching doorplate and some image processing methods for the recognition of landmarks and numbers are put forward in this paper. At last, mobile robot CASIA-I we designed and developed is employed to have an experiment in order to testify the validity of the proposed self-localization method.
机译:对于没有地图的未知环境,机器人很难漫游。机器人必须间隔知道其位置和目的地位置。许多方法可以使机器人准确定位自己。但是,机器人应配备精度更高的传感器,并缓慢移动以处理检测到的环境信息传感器。本文提出了一种通过识别走廊中的房间编号来将机器人导航到目标房间的方法。我们使用分别附有房间号的门牌作为自然地标。该方法基于人类的导航行为来表示机器人在全局框架中的位置。提出了机器人的总体结构,门牌搜索策略以及识别地标和数字的图像处理方法。最后,我们设计开发的移动机器人CASIA-I进行了实验,以验证所提出的自定位方法的有效性。

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