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Relative position localizing system for multiple autonomous mobile robots in distributed robotic system - algorithm to detect overlapped SLPM patterns

机译:分布式机器人系统中多个自主移动机器人的相对位置定位系统 - 检测重叠SLPM模式的算法

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Each mobile robot in the distributed robotic system using the proposed localizing method is equipped with a rotating laser beacon which project vertical slit laser beam. Below the beacon, photo diodes are installed in circular array to detect laser beam from any direction around the robot. Measurement of distance is based on detecting linear velocity of a vertical slit laser beam from a rotating beacon that projected on the photodiode array mounted on a robot. Direction is also detected by locating area on the sensor array where the beam is projected and finding the center of that area. Output from photodiode array are acquired at a constant sampling rate and stored in a matrix named 'Swept Laser Projection Matrix' (SLPM). However, due to the omni-directional sensing capability, this sensor allows multiple laser beams to be swept on a sensor array. The paper proposes an algorithm to extract overlapped SLPM patterns. The algorithm is designed to be able to handle errors and noises while using as simple algorithm as possible so that real-time processing can be achieved.
机译:使用所提出的定位方法的分布式机器人系统中的每个移动机器人配备有旋转激光灯,其垂直狭缝激光束。在信标下方,光电二极管安装在圆形阵列中,以从机器人周围的任何方向检测激光束。距离的测量是基于从投影在机器人上的光电二极管阵列上的旋转信标检测垂直狭缝激光束的线速度。通过在传感器阵列上的定位区域上也检测方向,其中光束被投射并找到该区域的中心。从光电二极管阵列输出以恒定采样率获取并存储在名为“扫描激光投影矩阵”(SLPM)的矩阵中。然而,由于全方向传感能力,该传感器允许多个激光束在传感器阵列上扫描。本文提出了一种提取重叠的SLPM模式的算法。该算法旨在能够在使用作为简单算法的同时处理错误和噪声,从而可以实现实时处理。

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