首页> 外文会议>Proceedings of the IASTED technology conferences 2010 >MAP-BUILDING AND MAP-BASED SELF-LOCALIZATION OF A MOBILE ROBOT USING SCAN-CORRELATION TECHNIQUE – A NEW APPROACH
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MAP-BUILDING AND MAP-BASED SELF-LOCALIZATION OF A MOBILE ROBOT USING SCAN-CORRELATION TECHNIQUE – A NEW APPROACH

机译:基于扫描关联技术的移动机器人基于地图的构建和基于地图的自定位-一种新方法

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This paper is concerned with the map based selfrnlocalization problem based on image matching by crosscorrelationrnmethod. The specific aim is to develop a maprnbased scan matching algorithm for robust pose estimationrnof a mobile robot in the static environment. A scan is a setrnof range measurement of the features transformed into arnbinary image in the environment provided by a laser rangernfinder (LRF). By comparing a scan taken at the currentrnpose of the robot with an existing scan, an estimate of thernabsolute pose of the robot is obtained. Real worldrnexperiments with our robot within the office environmentrnshow that the pose error is small enough to performrnnavigation tasks.
机译:本文涉及基于互相关方法的图像匹配的基于地图的自定位问题。具体目标是开发一种基于maprn的扫描匹配算法,用于在静态环境中对移动机器人进行鲁棒的姿态估计。扫描是在由激光测距仪(LRF)提供的环境中将特征转换为鸟巢图像的setrnof范围测量。通过将在机器人当前姿势下进行的扫描与现有扫描进行比较,可以获得机器人绝对姿势的估计值。我们的机器人在办公环境中的真实世界实验表明,姿势误差足够小,可以执行导航任务。

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