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EFFECTIVE LOCALIZATION OF MOBILE ROBOTS USING A SONAR SENSOR RING

机译:使用声纳传感器环有效定位移动机器人

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摘要

This study introduces the effective recognition method using a sonar sensor ring and activating the localization of mobile robots. To localize robot poses effectively with the sonar sensor ring, two kinds of observations are defined; the scanned feature and the tentative feature. The scanned features such as lines, points and even circles are extracted from sets of the accumulated sonar data. However, the performance of the localization with only scanned features should not be satisfactory because several steps of a robot are taken to extract the scanned features For these reasons, we adopt the current raw data as a tentative feature as well as the scanned feature. The tentative features are obtained by matching the current data to the given feature landmarks Both the feature observations are concurrently applied to extended Kalman filter (EKF)-based localization of robot poses. We demonstrate the validity of the proposed method with the results of real experiments
机译:本研究介绍了一种使用声纳传感器环并激活移动机器人的定位的有效识别方法。为了通过声纳传感器环有效地定位机器人的姿势,定义了两种观察方法:扫描的功能和暂定功能。从累积的声纳数据集中提取扫描特征,例如线,点,甚至圆。但是,仅使用扫描特征进行定位的性能就不能令人满意,因为需要采取机器人的多个步骤来提取扫描特征。由于这些原因,我们将当前原始数据以及扫描特征都用作暂定特征。通过将当前数据与给定的地标匹配来获得临时特征。这两个特征观测值同时应用于基于扩展卡尔曼滤波器(EKF)的机器人姿态定位。我们通过实际实验结果证明了该方法的有效性

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