Aircraft are frequently inspected to ensure that military and civilian safety standards are adhered to. These inspections are performed pre- and post-flight and are currently performed by trained maintenance personnel. This work furthers the automation of aircraft surface inspection by using ArUco tags to determine the position of the UAV during aerial inspections. The ArUco tag based position data was then compared to a highly accurate infrared motion capture system to determine the viability of this for accurate positioning of the vehicle. This work includes flight experiments with two different UAVs to perform a system viability comparison
UAV Positioning Data Determined Via Aruco Tags For Aircraft Surface Inspection
2021
91 pages
Report
Keine Angabe
Englisch
Aeronautics , Aircraft , Air force , Aircrafts , Airframes , Computer vision , Control systems , Department of defense , Engineering , Global positioning systems , Ground control stations , Maintenance personnel , Military aircraft , Motion capture , Navigation , Systems engineering , United states , Unmanned aerial systems , Unmanned aerial vehicles
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