影像辨識技術應用於室內導航系統之研究

A Study on Indoor Navigation System by Using Image Recognition Technique

林善智(Shan-Chih Lin)

指導教授 ： 黃國峰

共同指導教授 ： 游耿能

國立臺中科技大學/設計學院/多媒體設計系碩士班/碩士(2015年)

https://doi.org/10.6826/NUTC.2015.00037

摘要

隨著行動技術的快速進步，在過去十年期間關於地理導航在行動裝置上的應用程式來幫助人們導航已經有了廣泛的探索。然而，這些應用程式大部分都著重在輔助室外導航。本研究提出了創新的辦法來輔助室內導航的部份。我們探索各式各樣的方法來幫助行動裝置上的室內導航。然後我們構建了一個原型來輔助室內導航。在我們的原型裡，使用名為尺度不變特徵變換 （SIFT） 的影像識別技術來進行室內定位和 A * 演算法用於尋找路徑。這個原型可以簡單的被安裝在智慧型手機上來輔助室內導航。我們在新的會議上做實地測試，讓第一次來參與的人在舉行會議的大樓樓層進行實測。大部份的人在自己的手機上都試圖使用這個系統並且給予寶貴的回饋。普遍認為使用本系統是被接受和有趣的。基於這些回饋和使用者的建議，原型的一些改進已經被實現，但是可用性和評價需要進一步探討。

關鍵字

行動裝置 ； 室內導航 ； 尺度不變特徵轉換(SIFT) ； 影像辨識 ； 路徑搜索演算法

並列摘要

With the rapid progress of mobile technology, applications of mobile devices about geographic navigation support to help people move around have been extensively explored during the last decade. However, most of these applications are focused on supporting outdoor navigation. This study presents a novel way to support indoor navigation. We explore various approaches to help the indoor navigation with mobile devices. We then construct a prototype system to support indoor navigation. In our prototype, the image recognition technology named Scale Invariant Feature Transform (SIFT) is employed to locate the indoor position and the A* Algorithm is utilized for pathfinding. The prototype can be easily installed on smartphones for supporting indoor navigation. We did a field test on a real occasion of guiding new meeting attenders around the designated floor of a building. Most users with relevant devices had tried to use the system and delivered precious feedbacks. The general responses about the usage of the system are acceptable and interesting. Based on these feedbacks and users’ suggestions, some improvements of the prototype has been implemented, but the usability and evaluation need to be further explored.

並列關鍵字

Mobile device ； Indoor navigation ； Scale-Invariant Feature Transform (SIFT) ； Image recognition ； Pathfinding algorithm

參考文獻

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