Date of Award
Master of Science
Robert C. Leishman, PhD
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.
AFIT-ENG-MS-22-M-059 and AFIT-ENV-MS-22-M-258
DTIC Accession Number
Schmidt, Caleb B., "UAV Positioning Data Determined Via Aruco Tags for Aircraft Surface Inspection" (2022). Theses and Dissertations. 5387.