碩士 / 逢甲大學 / 航太與系統工程學系 / 106 / Industry 4.0 has flourished over the past few years; due to the demanding of the automation, machine vision and indoor positioning techniques have become one of the most popular research objectives. The main purpose of this thesis is to use machine vision approach for indoor positioning of Unmanned Ground Vehicles (UGV).
The author uses LabVIEW as the programming language for developing the whole system. After analyzing the acquired image data by webcams, the algorithm will show the relational positions between the target and webcams, and calculate the coordinates of the target in the test field for the real-time positioning.
| Identifer | oai:union.ndltd.org:TW/106FCU00295015 |
| Date | January 2018 |
| Creators | Chao Meng-Hao, 趙孟昊 |
| Contributors | Chen Chii-Chuan, 陳啟川 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 89 |
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