What is it about?
The paper presents an algorithm designed to make a fusion of sensory data obtained by different equipment integrated into a mobile measurement platform. The measurement platform has been primarily designed to measure changes in road geometrical parameters and degradation of road surfaces 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 clouds and faces generated from them. In addition to an explanation of some basic fusion-based terminology, the paper also presents graphical algorithms usable for the improvement of 3D models by adding photograph-based textures. Particular steps of the designed fusion algorithm have been practically implemented and tested.
Featured Image
Photo by Shubham Dhage on Unsplash
Why is it important?
Described data fusion process makes it possible to generate 3D models of measured areas with corresponding textures. The obtained models may further be used in different applications in various sectors of human life and help with solving different tasks – from e.g. road repair to architect designs.
Read the Original
This page is a summary of: Fusion of sensory data obtained by different equipment integrated in the mobile measurement platform, May 2014, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/elektro.2014.6848935.
You can read the full text:
Contributors
The following have contributed to this page
