Date of Award
3-2003
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
John F. Racquet, PhD
Abstract
Inertial navigation systems and GPS systems have revolutionized the world of navigation. Inertial systems are incapable of being jammed and are the backbone of most navigation systems. GPS is highly accurate over long periods of time, and it is an excellent aid to inertial navigation systems. However, as a military force we must be prepared to deal with the denial of the GPS signal. This thesis seeks to determine it, via simulation, it is viable to aid an INS with visual measurements.
AFIT Designator
AFIT-GE-ENG-03-10
DTIC Accession Number
ADA415246
Recommended Citation
Giebner, Michael G., "Tightly-Coupled Image-Aided Inertial Navigation System via a Kalman Filter" (2003). Theses and Dissertations. 4240.
https://scholar.afit.edu/etd/4240