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http://hdl.handle.net/10791/371
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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 Calibration 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 |
Appears in Collections: | Theses & Dissertations
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