MICRO AND MACRO QUADCOPTER DRONES FOR INDOOR MAPPING TO SUPPORT DISASTER MANAGEMENT

The use of drones to explore indoor spaces has gained attention and popularity for disaster management and indoor navigation applications. In this paper we present the operations and mapping techniques of two drones that are different in terms of size, the sensors deployed, and the positioning and m...

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Main Authors: S. Karam, F. Nex, O. Karlsson, J. Rydell, E. Bilock, M. Tulldahl, M. Holmberg, N. Kerle
Format: Article
Language:English
Published: Copernicus Publications 2022-05-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-1-2022/203/2022/isprs-annals-V-1-2022-203-2022.pdf
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author S. Karam
F. Nex
O. Karlsson
J. Rydell
E. Bilock
M. Tulldahl
M. Holmberg
N. Kerle
author_facet S. Karam
F. Nex
O. Karlsson
J. Rydell
E. Bilock
M. Tulldahl
M. Holmberg
N. Kerle
author_sort S. Karam
collection DOAJ
description The use of drones to explore indoor spaces has gained attention and popularity for disaster management and indoor navigation applications. In this paper we present the operations and mapping techniques of two drones that are different in terms of size, the sensors deployed, and the positioning and mapping techniques used. The first drone is a low-cost commercial quadcopter microdrone, a Crazyflie, while the second drone is a relatively expensive research quadcopter macrodrone, called MAX. We investigated their feasibility in mapping areas where satellite positioning is not available, such as indoor spaces. We compared the point clouds obtained by a multi-ranger deck, a multi-layer LIDAR scanner and a stereo camera, and assessed each against ground truth obtained with a terrestrial laser scanner. Results showed that both drones are capable of mapping relatively cluttered indoor environments and can provide point clouds that are sufficient for a quick exploration. Furthermore, the LIDAR scanner-based system can handle a relatively large office environment with an accumulated drift less than 0.02% (1 cm) on the Z-axis and 0.77% (50 cm) on the X and Y axes over a length trajectory of about 65 m. Despite the limited features of the sensor configuration of the Crazyflie, its performance is promising for mapping indoor spaces, given the relatively low deviation from the ground truth: cloud-to-cloud distances measured were generally less than 20 cm.
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spelling doaj.art-bc5d4c9238c64fd6bcdba29720785d952022-12-22T00:38:34ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502022-05-01V-1-202220321010.5194/isprs-annals-V-1-2022-203-2022MICRO AND MACRO QUADCOPTER DRONES FOR INDOOR MAPPING TO SUPPORT DISASTER MANAGEMENTS. Karam0F. Nex1O. Karlsson2J. Rydell3E. Bilock4M. Tulldahl5M. Holmberg6N. Kerle7University of Twente, Faculty ITC, Dept. of Applied Earth Sciences, 7514 AE Enschede, The NetherlandsUniversity of Twente, Faculty ITC, Dept. of Earth Observation Science, 7514 AE Enschede, The NetherlandsFOI – Swedish Defence Research Agency, Dept. of Sensor Informatics, P.O. Box 1165, SE-581 11 Linköping, SwedenFOI – Swedish Defence Research Agency, Dept. of Sensor Informatics, P.O. Box 1165, SE-581 11 Linköping, SwedenFOI – Swedish Defence Research Agency, Dept. of Sensor Informatics, P.O. Box 1165, SE-581 11 Linköping, SwedenFOI – Swedish Defence Research Agency, Dept. of Electrooptical Systems, P.O. Box 1165, SE-581 11 Linköping, SwedenFOI – Swedish Defence Research Agency, Dept. of Sensor Informatics, P.O. Box 1165, SE-581 11 Linköping, SwedenUniversity of Twente, Faculty ITC, Dept. of Applied Earth Sciences, 7514 AE Enschede, The NetherlandsThe use of drones to explore indoor spaces has gained attention and popularity for disaster management and indoor navigation applications. In this paper we present the operations and mapping techniques of two drones that are different in terms of size, the sensors deployed, and the positioning and mapping techniques used. The first drone is a low-cost commercial quadcopter microdrone, a Crazyflie, while the second drone is a relatively expensive research quadcopter macrodrone, called MAX. We investigated their feasibility in mapping areas where satellite positioning is not available, such as indoor spaces. We compared the point clouds obtained by a multi-ranger deck, a multi-layer LIDAR scanner and a stereo camera, and assessed each against ground truth obtained with a terrestrial laser scanner. Results showed that both drones are capable of mapping relatively cluttered indoor environments and can provide point clouds that are sufficient for a quick exploration. Furthermore, the LIDAR scanner-based system can handle a relatively large office environment with an accumulated drift less than 0.02% (1 cm) on the Z-axis and 0.77% (50 cm) on the X and Y axes over a length trajectory of about 65 m. Despite the limited features of the sensor configuration of the Crazyflie, its performance is promising for mapping indoor spaces, given the relatively low deviation from the ground truth: cloud-to-cloud distances measured were generally less than 20 cm.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-1-2022/203/2022/isprs-annals-V-1-2022-203-2022.pdf
spellingShingle S. Karam
F. Nex
O. Karlsson
J. Rydell
E. Bilock
M. Tulldahl
M. Holmberg
N. Kerle
MICRO AND MACRO QUADCOPTER DRONES FOR INDOOR MAPPING TO SUPPORT DISASTER MANAGEMENT
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title MICRO AND MACRO QUADCOPTER DRONES FOR INDOOR MAPPING TO SUPPORT DISASTER MANAGEMENT
title_full MICRO AND MACRO QUADCOPTER DRONES FOR INDOOR MAPPING TO SUPPORT DISASTER MANAGEMENT
title_fullStr MICRO AND MACRO QUADCOPTER DRONES FOR INDOOR MAPPING TO SUPPORT DISASTER MANAGEMENT
title_full_unstemmed MICRO AND MACRO QUADCOPTER DRONES FOR INDOOR MAPPING TO SUPPORT DISASTER MANAGEMENT
title_short MICRO AND MACRO QUADCOPTER DRONES FOR INDOOR MAPPING TO SUPPORT DISASTER MANAGEMENT
title_sort micro and macro quadcopter drones for indoor mapping to support disaster management
url https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-1-2022/203/2022/isprs-annals-V-1-2022-203-2022.pdf
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