Research on calibration method of extrinsic parameters of lidar and camera carried by UAV

Z. Wang, Han Shen, Haibo Du, Jun Zhou, Xiaozheng Jin
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引用次数: 1

Abstract

The colorful image of the camera and the point cloud of the lidar can provide rich information about the surrounding environment.With the widespread application of UAV in various industries, loading lidars and cameras on UAV can effectively help UAV realize functions such as identification, mapping, and navigation in unfamiliar environments. Aiming at the current research hotspot, this paper combines hand-eye calibration with edge calibration. The former provides the calibration initial value for the latter, and the latter optimizes the results of the former. Finally, a high-precision automatic calibration system without artificial initial value is realized. In addition, this paper proposes a Gauss-Helmert model with scale estimation and outlier removal to solve hand-eye calibration. Experiments show that the method has higher accuracy and better robustness.
无人机机载激光雷达与相机外部参数标定方法研究
相机的彩色图像和激光雷达的点云可以提供丰富的周围环境信息。随着无人机在各行业的广泛应用,在无人机上加载激光雷达和摄像头可以有效地帮助无人机在陌生环境中实现识别、测绘、导航等功能。针对当前的研究热点,本文将手眼标定与边缘标定相结合。前者为后者提供校准初始值,后者对前者的结果进行优化。最后,实现了无需人工初始值的高精度自动标定系统。此外,本文还提出了一种具有尺度估计和离群值去除的Gauss-Helmert模型来解决手眼标定问题。实验表明,该方法具有较高的精度和较好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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