Dual-user localization using ARKit and nearby interaction for iOS devices
This dissertation delves into the burgeoning field of indoor ranging and dualuser Augmented Reality (AR) techniques, primarily focusing on the integration and comparison of Visual Inertial Odometry (VIO) and Ultra-Wideband (UWB) technologies. The motivation behind this research stems from the need t...
Príomhchruthaitheoir: | Zhang, Yuyang |
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Rannpháirtithe: | Ling Keck Voon |
Formáid: | Thesis-Master by Coursework |
Teanga: | English |
Foilsithe / Cruthaithe: |
Nanyang Technological University
2024
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Ábhair: | |
Rochtain ar líne: | https://hdl.handle.net/10356/174837 |
Míreanna comhchosúla
Míreanna comhchosúla
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An Enhanced Indoor Three-Dimensional Localization System with Sensor Fusion Based on Ultra-Wideband Ranging and Dual Barometer Altimetry
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Learning Visual-Inertial Odometry With Robocentric Iterated Extended Kalman Filter
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Trustworthiness for an Ultra-Wideband Localization Service
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Research on indoor positioning system algorithm based on UWB technology
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Foilsithe / Cruthaithe: (2024-06-01) -
Improved maximum correntropy criterion Kalman filter with adaptive behaviors for INS/UWB fusion positioning algorithm
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Foilsithe / Cruthaithe: (2024-12-01)