Indoor Spatial and Image Information Inquiry through a 3D Modeler for a Deep Learning Indoor Positioning/Mapping Database
| Autor: | Han-Ting Chen, 陳漢庭 |
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| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 To solve the problem of getting lost indoors of an unfamiliar building, Our team proposes photos taken by a mobile phone and its inertia information to position and sketch the indoor floor plan. The deep learning algorithm in the research of this team requires a lot of indoor information in different rooms. It is not easy to obtain real-world data.Therefore, this paper uses the virtual data output by SketchUp as an aid. This paper focuses on providing virtual data by using SketchUp and Python automation. This thesis also trains a deep learning algorithm by different data sets (virtual cat/dog and real cat/dog). The result shows Transfer Learning can improve the accuracy. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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