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Two-Dimensional Radial Laser Scanning for Circular Marker Detection and External Mobile Robot Tracking

机译:用于圆形标记检测和外部移动机器人跟踪的二维径向激光扫描

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摘要

This paper presents the use of an external fixed two-dimensional laser scanner to detect cylindrical targets attached to moving devices, such as a mobile robot. This proposal is based on the detection of circular markers in the raw data provided by the laser scanner by applying an algorithm for outlier avoidance and a least-squares circular fitting. Some experiments have been developed to empirically validate the proposal with different cylindrical targets in order to estimate the location and tracking errors achieved, which are generally less than 20 mm in the area covered by the laser sensor. As a result of the validation experiments, several error maps have been obtained in order to give an estimate of the uncertainty of any location computed. This proposal has been validated with a medium-sized mobile robot with an attached cylindrical target (diameter 200 mm). The trajectory of the mobile robot was estimated with an average location error of less than 15 mm, and the real location error in each individual circular fitting was similar to the error estimated with the obtained error maps. The radial area covered in this validation experiment was up to 10 m, a value that depends on the radius of the cylindrical target and the radial density of the distance range points provided by the laser scanner but this area can be increased by combining the information of additional external laser scanners.
机译:本文介绍了使用外部固定二维激光扫描仪来检测连接到移动设备(例如移动机器人)的圆柱形目标的方法。该建议基于对激光扫描仪提供的原始数据中的圆形标记的检测,方法是应用一种避免异常值和最小二乘圆形拟合的算法。已经开发了一些实验以凭经验验证具有不同圆柱目标的提议,以便估计所实现的位置和跟踪误差,该误差通常在激光传感器覆盖的区域内小于20 mm。作为验证实验的结果,已经获得了几个误差图,以便对所计算的任何位置的不确定性进行估计。这项建议已通过带有圆柱形目标(直径200毫米)的中型移动机器人进行了验证。估计移动机器人的轨迹的平均位置误差小于15 mm,并且每个单独的圆形拟合中的实际位置误差与使用获得的误差图估算的误差相似。此验证实验覆盖的径向区域最大为10 m,该值取决于圆柱目标的半径和激光扫描仪提供的距离范围点的径向密度,但是可以通过组合以下信息来增加该区域:其他外部激光扫描仪。

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