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A Study on In Situ Calibration of an Off-The-Shelf Digital Camera Integrated to a Lidar System

机译:集成在激光雷达系统上的现成数码相机的原位校准研究

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摘要

Photogrammetric procedures using the integration of imagery and light detection and ranging (Lidar) datasets are becoming common in mapping companies nowadays. When photogrammetric and Lidar surveys are performed simultaneously while having the camera connected to the Lidar system, the image's exterior orientation parameters computed from the Lidar system can be used to perform photogrammetric applications. To implement such approach, camera calibration procedures should be applied to obtain accurate interior orientation parameters. This paper shows the performed study and experimental results from an in situ self-calibration using simultaneously collected imagery and Lidar datasets. The experimental study is conducted to devise a methodology for the in situ self-calibration that uses a set of vertical control points, extracted from Lidar point cloud, as well as the three-dimensional coordinates of the camera exposure stations, computed from the Lidar trajectory. For the small photogrammetric block used in this study, the results from the performed experiments demonstrated that the in situ self-calibration is required to obtain horizontal accuracies of approximately one image pixel on the ground in bundle adjustment assisted by direct measured of the coordinates of the camera exposure stations.
机译:如今,在影像公司中,将图像与光检测和测距(Lidar)数据集集成在一起的摄影测量程序正变得越来越普遍。当照相机连接到激光雷达系统时同时执行摄影测量和激光雷达测量时,从激光雷达系统计算出的图像外部定向参数可用于执行摄影测量应用。为了实施这种方法,应该应用相机校准程序以获得准确的内部方向参数。本文显示了使用同时收集的图像和激光雷达数据集进行的自校准进行的研究和实验结果。进行实验研究是为了设计一种用于现场自校准的方法,该方法使用从激光雷达点云中提取的一组垂直控制点以及从激光雷达轨迹计算出的相机曝光站的三维坐标。对于本研究中使用的小型摄影测量块,进行的实验结果表明,需要进行原位自校准,以便在束调整中获得地面上大约一个图像像素的水平精度,并通过直接测量其坐标来进行调整。相机曝光站。

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