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UWB Localization with Battery-Powered Wireless Backbone for Drone-Based Inventory Management

Current inventory-taking methods (counting stocks and checking correct placements) in large vertical warehouses are mostly manual, resulting in (i) large personnel costs, (ii) human errors and (iii) incidents due to working at large heights. To remedy this, the use of autonomous indoor drones has be...

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Detalles Bibliográficos
Autores principales: Macoir, Nicola, Bauwens, Jan, Jooris, Bart, Van Herbruggen, Ben, Rossey, Jen, Hoebeke, Jeroen, De Poorter, Eli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386853/
https://www.ncbi.nlm.nih.gov/pubmed/30678128
http://dx.doi.org/10.3390/s19030467
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author Macoir, Nicola
Bauwens, Jan
Jooris, Bart
Van Herbruggen, Ben
Rossey, Jen
Hoebeke, Jeroen
De Poorter, Eli
author_facet Macoir, Nicola
Bauwens, Jan
Jooris, Bart
Van Herbruggen, Ben
Rossey, Jen
Hoebeke, Jeroen
De Poorter, Eli
author_sort Macoir, Nicola
collection PubMed
description Current inventory-taking methods (counting stocks and checking correct placements) in large vertical warehouses are mostly manual, resulting in (i) large personnel costs, (ii) human errors and (iii) incidents due to working at large heights. To remedy this, the use of autonomous indoor drones has been proposed. However, these drones require accurate localization solutions that are easy to (temporarily) install at low costs in large warehouses. To this end, we designed a Ultra-Wideband (UWB) solution that uses infrastructure anchor nodes that do not require any wired backbone and can be battery powered. The resulting system has a theoretical update rate of up to 2892 Hz (assuming no hardware dependent delays). Moreover, the anchor nodes have an average current consumption of only 27 mA (compared to 130 mA of traditional UWB infrastructure nodes). Finally, the system has been experimentally validated and is available as open-source software.
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spelling pubmed-63868532019-02-26 UWB Localization with Battery-Powered Wireless Backbone for Drone-Based Inventory Management Macoir, Nicola Bauwens, Jan Jooris, Bart Van Herbruggen, Ben Rossey, Jen Hoebeke, Jeroen De Poorter, Eli Sensors (Basel) Article Current inventory-taking methods (counting stocks and checking correct placements) in large vertical warehouses are mostly manual, resulting in (i) large personnel costs, (ii) human errors and (iii) incidents due to working at large heights. To remedy this, the use of autonomous indoor drones has been proposed. However, these drones require accurate localization solutions that are easy to (temporarily) install at low costs in large warehouses. To this end, we designed a Ultra-Wideband (UWB) solution that uses infrastructure anchor nodes that do not require any wired backbone and can be battery powered. The resulting system has a theoretical update rate of up to 2892 Hz (assuming no hardware dependent delays). Moreover, the anchor nodes have an average current consumption of only 27 mA (compared to 130 mA of traditional UWB infrastructure nodes). Finally, the system has been experimentally validated and is available as open-source software. MDPI 2019-01-23 /pmc/articles/PMC6386853/ /pubmed/30678128 http://dx.doi.org/10.3390/s19030467 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Macoir, Nicola
Bauwens, Jan
Jooris, Bart
Van Herbruggen, Ben
Rossey, Jen
Hoebeke, Jeroen
De Poorter, Eli
UWB Localization with Battery-Powered Wireless Backbone for Drone-Based Inventory Management
title UWB Localization with Battery-Powered Wireless Backbone for Drone-Based Inventory Management
title_full UWB Localization with Battery-Powered Wireless Backbone for Drone-Based Inventory Management
title_fullStr UWB Localization with Battery-Powered Wireless Backbone for Drone-Based Inventory Management
title_full_unstemmed UWB Localization with Battery-Powered Wireless Backbone for Drone-Based Inventory Management
title_short UWB Localization with Battery-Powered Wireless Backbone for Drone-Based Inventory Management
title_sort uwb localization with battery-powered wireless backbone for drone-based inventory management
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386853/
https://www.ncbi.nlm.nih.gov/pubmed/30678128
http://dx.doi.org/10.3390/s19030467
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