UAV Positioning Data Determined Via Aruco Tags for Aircraft Surface Inspection

Author

Caleb B. Schmidt

Date of Award

3-2022

Document Type

Thesis

Degree Name

Master of Science

First Advisor

Robert C. Leishman, PhD

Abstract

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 Designator

AFIT-ENG-MS-22-M-059 and AFIT-ENV-MS-22-M-258

DTIC Accession Number

AD1166919

Comments

Master of Science in Electrical Engineering and Master of Science in Systems Engineering.

Recommended Citation

Schmidt, Caleb B., "UAV Positioning Data Determined Via Aruco Tags for Aircraft Surface Inspection" (2022). Theses and Dissertations. 5387.
https://scholar.afit.edu/etd/5387