Iterative Closest Point Based Volume Analysis on UAV Made Time-Series Large-Scale Point Clouds

D. Stojcsics, Zsolt Domozi, A. Molnár
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引用次数: 1

Abstract

With new methods of 3D model creation, the examination of real objects and natural or artificial formations in virtual space become possible. A precondition is that the models be created along the principles of photogrammetry. The bases of the method introduced in the paper are the precise flight ability of small-sized machines piloted by a robot and a mounted camera with distortion-free optics. Surveys conducted by such devices can be faster and more economical than the usage of conventional aircraft requiring human personnel. As long as all the parameters of the devices are known, it is possible to create a kind of 3D model on which volume calculation can be conducted referring to the real object. In this present paper, we introduce the algorithmic and automatized version of the previous analysis method demanding manual engineering work. The solution can be appropriate for the complete substitution of geodetic field work; it produces faster and more accurate results.
基于迭代最近点的无人机时间序列大尺度点云体积分析
随着3D模型创建的新方法,在虚拟空间中检查真实物体和自然或人工形成成为可能。一个先决条件是模型是按照摄影测量学的原则创建的。本文介绍的方法的基础是由机器人驾驶的小型机器的精确飞行能力和安装无畸变光学相机。使用这种设备进行的调查比使用需要人力的传统飞机更快、更经济。只要知道设备的所有参数,就可以创建一种三维模型,并在其上参照实物进行体积计算。在本文中,我们介绍了以前的分析方法的算法和自动化版本,需要人工的工程工作。该方案可适用于完全替代大地测量野外工作;它产生更快,更准确的结果。
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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