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Please use this identifier to cite or link to this item: http://hdl.handle.net/10791/371

Title: Inertial Navigation System Using Augmented Reality Transformation for Correction and Cognition
Authors: Mulder, Kenneth
Supervisor(s): Dr. Maiga Chang, Athabasca University
Examining Committee: Dr. Larbi Esmahi, Athabasca University
Dr. Mohamed Jemni, University of Tunis
Dr. Shein-Yung Cheng, Chung-Yuan Christian University
Degree: Master of Science, Information Systems (MScIS)
Department: Faculty of Science and Technology
Keywords: Path generation
Multiple travelling salesman problem
Contract net protocol
Distributed multi-agent systems
Sensor fusion
Complementary filter
Augmented intelligence
Issue Date: 28-Feb-2022
Abstract: The main goal of this research is to determine if an Inertial Navigation System (INS) can be corrected to effectively track a user’s pose, position and orientation, by using a monocular camera with fiducial markers. In addition, this research determines if an augmented reality (AR) system interface that integrates spatial cognition learning tasks can test and train the user’s spatial cognition. The implications of positive results are that the corrected INS poses on ubiquitous mobile devices provide reasonably accurate, precise, and reliable indoor navigation when a Global Navigation Satellite System (GNSS) is unavailable. This research investigates location-based services (LBS) for use in learning environments, tourism, and emergency services. The implementation technically enables the spatial cognition learning tasks. However, user tests results are still required to prove that user spatial cognition would improve and make navigating faster, which is a suggested area for future research.
Graduation Date: Mar-2022
URI: http://hdl.handle.net/10791/371
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