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Fusion of sensory data obtained by different equipment integrated in the mobile measurement platform

机译:融合由移动测量平台中集成的不同设备获得的感官数据

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The paper presents an algorithm designed to make fusion of sensory data obtained by different equipment integrated in a mobile measurement platform. The measurement platform has been primarily designed to measure changes of road geometrical parameters and degradation of road surface over time. When measuring road surface degradation, data from the laser scanner, GPS receiver and INS are being fused. The fusion process results are a 3D model of a real object. It consists of point cloud and faces generated from them. In addition to explanation of some basic fusion-based terminology the paper also presents graphical algorithms usable for improvement of 3D models by adding photograph-based textures. Particular steps of the designed fusion algorithm have been practically implemented and tested.
机译:本文提出了一种算法,旨在融合由移动测量平台中集成的不同设备获得的感官数据。该测量平台主要用于测量道路几何参数的变化和路面随时间的退化。当测量路面退化时,来自激光扫描仪,GPS接收器和INS的数据会融合在一起。融合过程的结果是真实对象的3D模型。它由点云和由它们生成的面组成。除了解释一些基本的基于融合的术语外,本文还介绍了可用于通过添加基于照片的纹理来改进3D模型的图形算法。所设计的融合算法的特定步骤已得到实际实施和测试。

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