EconPapers    
Economics at your fingertips  
 

Configuring a UWB Based Location System for a UGV Operating in a Follow-Me Scenario

Rafał Typiak, Łukasz Rykała and Andrzej Typiak
Additional contact information
Rafał Typiak: Faculty of Mechanical Engineering, Military University of Technology, 00-908 Warsaw, Poland
Łukasz Rykała: Faculty of Mechanical Engineering, Military University of Technology, 00-908 Warsaw, Poland
Andrzej Typiak: Faculty of Mechanical Engineering, Military University of Technology, 00-908 Warsaw, Poland

Energies, 2021, vol. 14, issue 17, 1-18

Abstract: Unmanned Ground Vehicles (UGV) are devices capable of performing basic working movements without the operator being in their immediate working environment. Their capabilities include but are not limited to the perception of the environment with the use of sensors, determining the platform’s position, and planning and executing its movement. Ultra Wideband (UWB) is one of the wireless communication technologies which is increasingly used in location systems. This article presents the use of UWB technology in developing a guide localization system for a UGV (one of the stages of implementing a follow-me system). The article describes tests carried out on the developed testbed. Their aim was to determine the hardware configuration of the anchor arrangement characterized by the minimum number of lost data packets during operation. In order to determine the influence of the analysed variables on the output values, the method of global sensitivity analysis for neural networks was used.

Keywords: Ultra Wideband; follow-me; Unmanned Ground Vehicles; global sensitivity analysis; neural networks (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/17/5517/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/17/5517/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:17:p:5517-:d:628765

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5517-:d:628765