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UWB localization with battery-powered wireless backbone for drone-based inventory management

Nicola Macoir (UGent) , Jan Bauwens (UGent) , Bart Jooris (UGent) , Ben Van Herbruggen (UGent) , Jen Rossey (UGent) , Jeroen Hoebeke (UGent) and Eli De Poorter (UGent)
(2019) SENSORS. 19(3). p.1-18
Author
Organization
Abstract
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.
Keywords
Ultra-Wideband (UWB), drone inventory, low-energy, easy installation, infrastructure-light

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Citation

Please use this url to cite or link to this publication:

MLA
Macoir, Nicola et al. “UWB Localization with Battery-powered Wireless Backbone for Drone-based Inventory Management.” SENSORS 19.3 (2019): 1–18. Print.
APA
Macoir, N., Bauwens, J., Jooris, B., Van Herbruggen, B., Rossey, J., Hoebeke, J., & De Poorter, E. (2019). UWB localization with battery-powered wireless backbone for drone-based inventory management. SENSORS, 19(3), 1–18.
Chicago author-date
Macoir, Nicola, Jan Bauwens, Bart Jooris, Ben Van Herbruggen, Jen Rossey, Jeroen Hoebeke, and Eli De Poorter. 2019. “UWB Localization with Battery-powered Wireless Backbone for Drone-based Inventory Management.” Sensors 19 (3): 1–18.
Chicago author-date (all authors)
Macoir, Nicola, Jan Bauwens, Bart Jooris, Ben Van Herbruggen, Jen Rossey, Jeroen Hoebeke, and Eli De Poorter. 2019. “UWB Localization with Battery-powered Wireless Backbone for Drone-based Inventory Management.” Sensors 19 (3): 1–18.
Vancouver
1.
Macoir N, Bauwens J, Jooris B, Van Herbruggen B, Rossey J, Hoebeke J, et al. UWB localization with battery-powered wireless backbone for drone-based inventory management. SENSORS. Basel: Mdpi; 2019;19(3):1–18.
IEEE
[1]
N. Macoir et al., “UWB localization with battery-powered wireless backbone for drone-based inventory management,” SENSORS, vol. 19, no. 3, pp. 1–18, 2019.
@article{8608507,
  abstract     = {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.},
  articleno    = {467},
  author       = {Macoir, Nicola and Bauwens, Jan and Jooris, Bart and Van Herbruggen, Ben and Rossey, Jen and Hoebeke, Jeroen and De Poorter, Eli},
  issn         = {1424-8220},
  journal      = {SENSORS},
  keywords     = {Ultra-Wideband (UWB),drone inventory,low-energy,easy installation,infrastructure-light},
  language     = {eng},
  number       = {3},
  pages        = {467:1--467:18},
  publisher    = {Mdpi},
  title        = {UWB localization with battery-powered wireless backbone for drone-based inventory management},
  url          = {http://dx.doi.org/10.3390/s19030467},
  volume       = {19},
  year         = {2019},
}

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