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Boresight Calibration of Construction Misalignments for 3D Scanners Built with a 2D Laser Rangefinder Rotating on Its Optical Center

机译:用光学中心旋转的2D激光测距仪构建的3D扫描仪的构造失准的Boresight校准

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摘要

Many applications, like mobile robotics, can profit from acquiring dense, wide-ranging and accurate 3D laser data. Off-the-shelf 2D scanners are commonly customized with an extra rotation as a low-cost, lightweight and low-power-demanding solution. Moreover, aligning the extra rotation axis with the optical center allows the 3D device to maintain the same minimum range as the 2D scanner and avoids offsets in computing Cartesian coordinates. The paper proposes a practical procedure to estimate construction misalignments based on a single scan taken from an arbitrary position in an unprepared environment that contains planar surfaces of unknown dimensions. Inherited measurement limitations from low-cost 2D devices prevent the estimation of very small translation misalignments, so the calibration problem reduces to obtaining boresight parameters. The distinctive approach with respect to previous plane-based intrinsic calibration techniques is the iterative maximization of both the flatness and the area of visible planes. Calibration results are presented for a case study. The method is currently being applied as the final stage in the production of a commercial 3D rangefinder.
机译:许多应用程序(例如移动机器人技术)都可以通过获取密集,范围广泛且准确的3D激光数据而受益。现成的2D扫描仪通常是经过定制的,可以额外旋转,以提供低成本,轻巧和低功耗的解决方案。此外,将额外的旋转轴与光学中心对齐可使3D设备保持与2D扫描仪相同的最小范围,并避免计算笛卡尔坐标时出现偏移。本文提出了一种实用的程序,可以根据在未准备好的环境中(包含未知尺寸的平面)的任意位置进行的一次扫描来估计施工失准。低成本2D设备继承的测量限制阻止了对非常小的平移未对准的估计,因此校准问题减少到获得视轴参数。相对于以前的基于平面的固有校准技术而言,独特的方法是对可见平面的平坦度和面积进行迭代最大化。给出校准结果用于案例研究。该方法目前正被用作商业3D测距仪生产的最后阶段。

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