Department of Computer Science and Industrial Engineering, University of Lleida, Jaume II, 69, 25001 Lleida, Spain.
Sensors (Basel). 2012 Nov 28;12(12):16482-97. doi: 10.3390/s121216482.
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.
本文提出了一种使用外部固定二维激光扫描仪来检测附接到移动设备(如移动机器人)上的圆柱形目标的方法。该提案基于通过应用异常值回避算法和最小二乘圆形拟合来检测激光扫描仪提供的原始数据中的圆形标记。已经进行了一些实验来通过不同的圆柱形目标对该提案进行实证验证,以估计所达到的位置和跟踪误差,这些误差在激光传感器覆盖的区域内通常小于 20 毫米。作为验证实验的结果,已经获得了几个误差图,以便对任何计算出的位置的不确定性进行估计。该提案已经使用带有附接的圆柱形目标(直径 200 毫米)的中型移动机器人进行了验证。移动机器人的轨迹估计的平均位置误差小于 15 毫米,并且每个单独的圆形拟合的实际位置误差与使用获得的误差图估计的误差相似。在这个验证实验中覆盖的径向区域高达 10 米,这个值取决于圆柱形目标的半径和激光扫描仪提供的距离范围点的径向密度,但可以通过组合附加外部激光扫描仪的信息来增加这个区域。