碩士 / 國立臺灣大學 / 工程科學及海洋工程學研究所 / 106 / Nowadays, indoor positioning and navigation problems are mainly solved by triangulation through beacon, Wi-Fi, etc. This paper proposes a vision-based indoor positioning and navigation system which only requires a reference image database constructed by images of indoor environments for localization, with no necessity to set up hardware devices.
One essential step to build an indoor positioning and navigation system is to correspond panoramic images to real space. Through a monocular visual odometry algorithm, this study reduces labor needed for the correspondence.
The positioning system in this study is based on a reference database constituted by panoramic images. Users are required to take a picture of the location of inquiry for localization. This study searches for the corresponding image in the reference database through MODS. Experiments of positioning at MRT Taipei Main Station at B2 show that the accuracy rate of top 1 can reach 61.1% if considering artificially marked answers and approximate answers at the same time.
With respect to the navigation system, this study proposes using images extracted from panoramas at a specific angle to guide users to their destinations. Compared with the navigation system using the blue dot as the user-interface, reacting to real images of the surroundings allows users to be more certain whether they are on the right path.
| Identifer | oai:union.ndltd.org:TW/106NTU05345035 |
| Date | January 2018 |
| Creators | Yi-Fang Tsai, 蔡宜芳 |
| Contributors | 黃乾綱 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 61 |
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