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Method of Indoor Positioning Intel-ligence Using Image Analysis on Hallway Objects
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Advisor
노병희
Affiliation
아주대학교 일반대학원
Department
일반대학원 AI융합네트워크학과
Publication Year
2021-02
Publisher
The Graduate School, Ajou University
Keyword
실내위치인식컴퓨터비젼
Description
학위논문(석사)--아주대학교 일반대학원 :AI융합네트워크학과,2021. 2
Alternative Abstract
Conventional indoor location positioning technology generally uses WLAN, GPS, and Bluetooth technologies. However, this technique may cause an error due to the strength of the received signal in an indoor environment. An indoor location positioning method that does not use a sensor is a method of referencing a 3D building model. This paper proposes a method of indoor location positioning using reference to a 3D building model, which is one of the indoor location recognition methods. The proposed method uses an image to recognize and use a permanent static object in a building, such as a door in the image, to predict and calculate the real-world distance ratio between the static object and the static object. After estimating real-world distance ratio, we compare estimated distance ratio with the real distance ratio to estimate the camera position. Through this method, it is expected that the indoor location can be recognized inexpensively with a single image without special infrastructure or sensors.
Language
eng
URI
https://dspace.ajou.ac.kr/handle/2018.oak/20046
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Type
Thesis
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