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Full-DOF Calibration of a Rotating 2-D LIDAR With a Simple Plane Measurement

机译:通过简单的平面测量即可对旋转二维激光雷达进行全自由度校准

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摘要

This paper proposes a calibration method that accurately estimates six parameters between the two centers of 2-D light detection and ranging (LIDAR) and a rotating platform. This method uses a simple plane, and to the best of our knowledge, it is the first to enable full-degree-of-freedom (DOF) estimation without additional hardware. The key concept behind this method is a decoupling property, in which the direction of a line on a plane does not contain 3-DOF translation terms. Based on this, a cost function for rotation is constructed, and 3-DOF rotation parameters are estimated. With this rotation, the remaining 3-DOF translation parameters are calculated in a manner that minimizes the cost function for translation only. In other words, an original 6-DOF problem is decoupled into two 3-DOF estimation problems. Given these cost functions, degenerate cases are mathematically analyzed for known cases (incomplete), and the robustness is numerically tested for all possible cases (complete). The performance of the method is validated by extensive simulations and experimentations, and the estimated parameters from the proposed method demonstrate better accuracy than previous methods.
机译:本文提出了一种校准方法,该方法可以准确估计二维光检测和测距(LIDAR)两个中心和一个旋转平台之间的六个参数。该方法使用一个简单的平面,据我们所知,它是第一个无需额外硬件即可启用全自由度(DOF)估计的方法。此方法背后的关键概念是解耦属性,其中平面上的线方向不包含3-DOF转换项。基于此,构建了旋转的成本函数,并估计了3自由度旋转参数。通过这种旋转,以最小化仅用于翻译的成本函数的方式来计算其余的3-DOF翻译参数。换句话说,原始的6自由度问题被分解为两个3自由度估计问题。给定这些成本函数,对退化的案例进行数学分析以了解已知案例(不完整),并对所有可能的案例(完整)进行健壮性数字测试。通过大量的仿真和实验验证了该方法的性能,并且该方法的估计参数比以前的方法具有更好的准确性。

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