目前在導航定位方面，有許多的研究與方法，像是使用GPS 、雷射、加速規、陀螺儀等各種感測器。但是每個感測器都有其限制，因此我們採取一種搭配街景(Street View)的影像定位方式，使用的工具是目前已經普及化的智慧型手機。
本論文利用影像匹配的概念做出影像定位，我們將建立一個影像的資料庫，裡面包含了位置與方向等各種資訊，另一方面透過手機或者各種相機鏡頭拍攝當前場景，將拍攝到的影像與建立好的影像資料庫進行比對，決定出相似度高的照片，並且進行位置的估算，最後搭配行人方位推估法，經由卡爾曼濾波器進行路徑的校正，達到一個優良的定位效果。

There have been various methods and research on navigation such as using global position system (GPS), accelerometer and gyroscope. However, those sensors possess limitations. In this thesis a new approach which combines street view image database with real-time image from a smart phone for positioning is developed.

This thesis proposes a concept of image matching to generate image
positioning. An image database with information such as photo position and direction is built up to cover a territory. An image of current location is obtained via a smart phone or a camera and is compared with the image
database to select database images with the highest similarities. By estimating the position and correcting the path using pedestrian dead reckoning (PDR) and Kalman filter (KF), the experimental results show a higher navigation accuracy.

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