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Bucket Wheel Reclaimer Calibration

机译:斗轮取料机校准

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This paper presents a method to calibrate the extrinsic parameters of LIDARs mounted on a Bucket Wheel Reclaimer (BWR). BWR's are widely used for stacking and reclaiming bulk materials in stockyards. Current BWR systems are either manually operated, remotely operated or semiautomated using the real-time point cloud data generated by one or more LIDARs. Accurate calibration is of crucial importance as the accuracy of the Earth frame point cloud data depends on it. Automated calibration is also a pre-requisite for fully autonomous BWR control. Calibration of BWR systems are more difficult than many other LIDAR systems because of their limited pose variation capabilities and the environmental constraints of stockyards. This paper analyzes the problem, presents observability conditions, presents a method to estimate the calibration parameters and discusses the challenges involved with BWR systems. The results demonstrate subdecimeter accuracy.
机译:本文提出了一种校准安装在斗轮取料机(BWR)上的LIDAR外部参数的方法。 BWR被广泛用于在堆场堆放和回收散装物料。当前的BWR系统可以使用一个或多个LIDAR生成的实时点云数据进行手动操作,远程操作或半自动化。准确的校准至关重要,因为地球框架点云数据的准确性取决于它。自动化校准也是全自动BWR控制的先决条件。 BWR系统的标定比许多其他LIDAR系统更困难,因为它们的姿态变化能力有限,并且堆场的环境受到限制。本文分析了问题,提出了可观察的条件,提出了估计校准参数的方法,并讨论了BWR系统所面临的挑战。结果表明分米精度。

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