Date of Award
3-1-2021
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
Scott L. Nykl, PhD
Abstract
The operational capability of drones is limited by their inability to perform aerial refueling. This can be overcome by automating the process with a computer vision solution. Previous work has demonstrated the feasibility of automated aerial refueling (AAR) in simulation. To progress this technique to the real world, this thesis conducts experiments using real images of a physical aircraft replica and a motion capture system for truth data. It also compares the error between the real and virtual experiments to validate the fidelity of the simulation. Results indicate that the current technique is effective on real images and that the simulation can predict errors in real world experiments.
AFIT Designator
AFIT-ENG-MS-21-M-016
DTIC Accession Number
AD1144402
Recommended Citation
Bownes, Vincent J., "Using Motion Capture and Augmented Reality to Test AAR with Boom Occlusion" (2021). Theses and Dissertations. 4993.
https://scholar.afit.edu/etd/4993