UAV Visual and Laser Sensors Fusion for Detection and Positioning in Industrial Applications

This work presents a solution to localize Unmanned Autonomous Vehicles with respect to pipes and other cylindrical elements found in inspection and maintenance tasks both in industrial and civilian infrastructures. The proposed system exploits the different features of vision and laser based sensors...

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Main Authors: Edmundo Guerra, Rodrigo Munguía, Antoni Grau
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/7/2071
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author Edmundo Guerra
Rodrigo Munguía
Antoni Grau
author_facet Edmundo Guerra
Rodrigo Munguía
Antoni Grau
author_sort Edmundo Guerra
collection DOAJ
description This work presents a solution to localize Unmanned Autonomous Vehicles with respect to pipes and other cylindrical elements found in inspection and maintenance tasks both in industrial and civilian infrastructures. The proposed system exploits the different features of vision and laser based sensors, combining them to obtain accurate positioning of the robot with respect to the cylindrical structures. A probabilistic (RANSAC-based) procedure is used to segment possible cylinders found in the laser scans, and this is used as a seed to accurately determine the robot position through a computer vision system. The priors obtained from the laser scan registration help to solve the problem of determining the apparent contour of the cylinders. In turn this apparent contour is used in a degenerate quadratic conic estimation, enabling to visually estimate the pose of the cylinder.
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spelling doaj.art-2c60ca3ab6b44d5581e26c8637e073d82022-12-22T02:14:47ZengMDPI AGSensors1424-82202018-06-01187207110.3390/s18072071s18072071UAV Visual and Laser Sensors Fusion for Detection and Positioning in Industrial ApplicationsEdmundo Guerra0Rodrigo Munguía1Antoni Grau2Department of Automatic Control, Technical University of Catalonia UPC, 08034 Barcelona, SpainDepartment of Computer Science, CUCEI, University of Guadalajara, Guadalajara 44430, MexicoDepartment of Automatic Control, Technical University of Catalonia UPC, 08034 Barcelona, SpainThis work presents a solution to localize Unmanned Autonomous Vehicles with respect to pipes and other cylindrical elements found in inspection and maintenance tasks both in industrial and civilian infrastructures. The proposed system exploits the different features of vision and laser based sensors, combining them to obtain accurate positioning of the robot with respect to the cylindrical structures. A probabilistic (RANSAC-based) procedure is used to segment possible cylinders found in the laser scans, and this is used as a seed to accurately determine the robot position through a computer vision system. The priors obtained from the laser scan registration help to solve the problem of determining the apparent contour of the cylinders. In turn this apparent contour is used in a degenerate quadratic conic estimation, enabling to visually estimate the pose of the cylinder.http://www.mdpi.com/1424-8220/18/7/2071Unmanned Autonomous Vehiclepose determinationLiDAR registrationapparent contour
spellingShingle Edmundo Guerra
Rodrigo Munguía
Antoni Grau
UAV Visual and Laser Sensors Fusion for Detection and Positioning in Industrial Applications
Sensors
Unmanned Autonomous Vehicle
pose determination
LiDAR registration
apparent contour
title UAV Visual and Laser Sensors Fusion for Detection and Positioning in Industrial Applications
title_full UAV Visual and Laser Sensors Fusion for Detection and Positioning in Industrial Applications
title_fullStr UAV Visual and Laser Sensors Fusion for Detection and Positioning in Industrial Applications
title_full_unstemmed UAV Visual and Laser Sensors Fusion for Detection and Positioning in Industrial Applications
title_short UAV Visual and Laser Sensors Fusion for Detection and Positioning in Industrial Applications
title_sort uav visual and laser sensors fusion for detection and positioning in industrial applications
topic Unmanned Autonomous Vehicle
pose determination
LiDAR registration
apparent contour
url http://www.mdpi.com/1424-8220/18/7/2071
work_keys_str_mv AT edmundoguerra uavvisualandlasersensorsfusionfordetectionandpositioninginindustrialapplications
AT rodrigomunguia uavvisualandlasersensorsfusionfordetectionandpositioninginindustrialapplications
AT antonigrau uavvisualandlasersensorsfusionfordetectionandpositioninginindustrialapplications