RT Journal Article
T1 Methodology for indoor positioning and landing of an unmanned aerial vehicle in a smart manufacturing plant for light part delivery
A1 Orgeira Crespo, Pedro
A1 Ulloa Sande, Carlos
A1 Rey Gonzalez, Guillermo David
A1 Pérez García, José Antonio
K1 3301.04 Aeronaves
K1 1203.04 Inteligencia Artificial
K1 3301.14 Cargas de Aterrizaje
AB Unmanned aerial vehicles (UAV) are spreading their usage in many areas, including last-mile distribution. In this research, a UAV is used for performing light parts delivery to workstation operators within a manufacturing plant, where GPS is no valid solution for indoor positioning. A generic localization solution is designed to provide navigation using RFID received signal strength measures and sonar values. A system on chip computer is onboarded with two missions: first, compute positioning and provide communication with backend software; second, provide an artificial vision system that cooperates with UAV’s navigation to perform landing procedures. An Industrial Internet of Things solution is defined for workstations to allow wireless mesh communication between the logistics vehicle and the backend software. Design is corroborated through experiments that validate planned solutions.
PB Electronics
SN 20799292
YR 2020
FD 2020-10-14
LK http://hdl.handle.net/11093/1798
UL http://hdl.handle.net/11093/1798
LA eng
NO Electronics, 9(10): 1680 (2020)
DS Investigo
RD 15-oct-2024