3D UAV Registration of Large Scale Environment Using Structure From Motion Based Approach

J. Velagić, Haris Balta
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Abstract

This paper treats the problem of 3D outdoor environment mapping using images acquired by Unmanned Aerial Vehicle (UAV). The main focus is on the generation of 3D model for large scale environments. In order to perform 3D model reconstruction and mapping from 2D aerial images we employed a Structure from Motion (SfM) based approach. The obtained results using this approach for different scenarios, the rubble field and village, are presented. The generated UAV 3D point cloud data are compared with the ground truth using the least square method, where the ground truth represents a reference model with high accuracy geodetic precision. The comparison of the 3D environment models with the rubble field and village scenarios and the ground truth data is also given.
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基于运动结构的大尺度环境三维无人机配准
本文研究了利用无人机(UAV)获取的图像进行三维室外环境映射的问题。主要关注的是为大规模环境生成3D模型。为了从2D航拍图像中进行3D模型重建和映射,我们采用了基于运动结构(SfM)的方法。给出了该方法在碎石场和村庄两种不同情况下的结果。利用最小二乘法将生成的无人机三维点云数据与地面真值进行比较,其中地面真值代表具有高精度大地测量精度的参考模型。并将三维环境模型与碎石场和村庄场景以及地面真实数据进行了比较。
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