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Development of Georeferenced 3D Point Cloud in GPS Denied Environments Using Backpack Laser Scanning System
Author(s) -
Syed Riaz un Nabi Jafri,
Yawar Rehman,
Sadia Muniza Faraz,
Hira Amjad,
Moazza Sultan,
Syed Jaudat Rashid
Publication year - 2021
Publication title -
elektronika ir elektrotechnika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.224
H-Index - 26
eISSN - 2029-5731
pISSN - 1392-1215
DOI - 10.5755/j02.eie.29063
Subject(s) - point cloud , global positioning system , georeference , laser scanning , simultaneous localization and mapping , computer science , backpack , remote sensing , cloud computing , computer vision , point (geometry) , artificial intelligence , geography , laser , robot , telecommunications , mathematics , mobile robot , physics , archaeology , optics , geometry , physical geography , operating system
This paper presents a method to generate a Georeferenced 3D point cloud of GPS denied built structures using custom made backpack laser scanning system. An orthogonal combination of 2D Hokuyo laser scanners has been used on the backpack system to generate a 3D point cloud of the surveyed environments. The data logging of scanners and simultaneous localization and mapping (SLAM) of the scanning system have been carried out using Robot Operating System (ROS). The developed local SLAM based 3D point cloud solution has been transformed into global Georeferenced 3D point cloud using observed geographic coordinates of nearby GPS visible vicinities. Multiple indoor environments have been scanned and 3D point clouds have been developed which have been found accurate when compared to the ground truth. In comparison to available surveying solutions present in the local market, the developed system has been found more accurate, faster, and user friendly to generate structural results of the surveyed vicinities in detail. The efficacy of the system has been witnessed by local surveying companies by delivering the unique global coordinated solutions on affordable rates.

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