用于激光雷达、相机和工业机器人外部标定的开箱靶

Aquib Rashd, W. Hardt, A. Kolker, M. Bdiwi, M. Putz
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引用次数: 2

摘要

低成本3D激光雷达在各种机器人应用的感知算法中补充了相机。安全高效的人机协作要求工业机器人对传感器进行简单准确的外部标定。本文提出了一种高效、准确的激光雷达、相机和工业机器人之间的外部标定方法。安装在机器人上的开箱目标通过将传感器数据约束到多个平面来实现参数估计,这些平面构成了目标规划面。该方法能够在每个数据样本中提取传感器和机器人之间的8个对应关系。该方法可以加速传感器设置,并通过自动化大大减少数据收集所需的工作量。结果已在模拟和真实环境中进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Open-Box Target for Extrinsic Calibration of LiDAR, Camera and Industrial Robot
Low cost 3D LiDAR complements cameras in perception algorithms for various robotic applications. Safe and efficient human robot collaboration requires easy and accurate extrinsic calibration of sensors with an industrial robot. This work presents an efficient and accurate method for extrinsic calibration between LiDAR, camera and an industrial robot. Open-box target mounted on robot enables parameter estimation by constraining sensor data to multiple planes, which constitute the target planner surface. The method enables extraction of eight correspondences between the sensors and the robot in each data sample. The method enables speedup in sensor setup and drastically reduces efforts required for data collection through automation. The results have been evaluated for a simulated and real environment.
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