Development of a Real-Time Indoor Positioning and Navigation System for Unmanned Ground Vehicles (UGV) by Using the Image Recognition and Object Tracking Techniques

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 appro...

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Bibliographic Details
Main Authors: Chao Meng-Hao, 趙孟昊
Other Authors: Chen Chii-Chuan
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/m5nff7
Description
Summary: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.