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UAV-BASED POINT CLOUD GENERATION FOR OPEN-PIT MINE MODELLING

机译:露天矿井建模的基于UV的点云生成

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Along with the advancement of unmanned aerial vehicles (UAVs), improvement of high-resolution cameras and development of vision-based mapping techniques, unmanned aerial imagery has become a matter of remarkable interest among researchers and industries. These images have the potential to provide data with unprecedented spatial and temporal resolution for three-dimensional (3D) modelling. In this paper, we present our theoretical and technical experiments regarding the development, implementation and evaluation of a UAV-based photogrammetric system for precise 3D modelling. This system was preliminarily evaluated for the application of gravel-pit surveying. The hardware of the system includes an electric powered helicopter, a 16-megapixels visible camera and inertial navigation system. The software of the system consists of the in-house programs built for sensor calibration, platform calibration, system integration and flight planning. It also includes the algorithms developed for structure from motion (SfM) computation including sparse matching, motion estimation, bundle adjustment and dense matching.
机译:随着无人驾驶飞行器(无人机)的进步,提高高分辨率摄像机和基于视觉的绘图技术的发展,无人机的空中图像已成为研究人员和行业之间令人瞩目的兴趣问题。这些图像具有潜力,可以提供具有前所未有的空间和时间分辨率的数据,用于三维(3D)建模。在本文中,我们在精确的3D建模的基于UAV的摄影测量系统的开发,实施和评估的理论和技术实验中提供了我们的理论和技术实验。初步评估了碎石坑测量的初步评估了该系统。该系统的硬件包括电动直升机,1600万像素可见相机和惯性导航系统。该系统的软件包括用于传感器校准,平台校准,系统集成和飞行计划的内部程序。它还包括从包括运动(SFM)计算的结构开发的算法,包括稀疏匹配,运动估计,捆绑调整和密集匹配。

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