Indoor positioning using WiFi and images

Tsang, Kai Tik

Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/6762

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DC Field	Value	Language
dc.contributor.author	Tsang, Kai Tik	en_US
dc.date.accessioned	2012-09-07T06:34:59Z
dc.date.accessioned	2017-09-19T08:50:52Z
dc.date.accessioned	2019-02-12T06:53:04Z	-
dc.date.available	2012-09-07T06:34:59Z
dc.date.available	2017-09-19T08:50:52Z
dc.date.available	2019-02-12T06:53:04Z	-
dc.date.issued	2012	en_US
dc.identifier.other	2012cstkt880	en_US
dc.identifier.uri	http://144.214.8.231/handle/2031/6762	-
dc.description.abstract	The objective of this project is to implement an indoor positioning function on a smartphone to simulate the navigation process of robots in indoor areas. The motivations include the limitation of GPS, the immature of indoor positioning applications, and also the weaknesses of WiFi positioning methods. The indoor positioning methods utilize WiFi and images to determine the current location of the mobile device. WiFi positioning and image matching techniques are evaluated. The result of integrating the two methods for indoor positioning is also analyzed.	en_US
dc.rights	This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.	en_US
dc.rights	Access is restricted to CityU users.	en_US
dc.title	Indoor positioning using WiFi and images	en_US
dc.contributor.department	Department of Computer Science	en_US
dc.description.supervisor	Supervisor: Dr. Yuen, Chun Hung; First Reader: Dr. Chan, Mang Tang; Second Reader: Prof. Jia, Xiaohua	en_US
Appears in Collections:	Computer Science - Undergraduate Final Year Projects

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