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Please use this identifier to cite or link to this item: http://hdl.handle.net/2031/6762

Title: Indoor positioning using WiFi and images
Authors: Tsang, Kai Tik
Department: Department of Computer Science
Issue Date: 2012
Supervisor: Supervisor: Dr. Yuen, Chun Hung; First Reader: Dr. Chan, Mang Tang; Second Reader: Prof. Jia, Xiaohua
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.
Appears in Collections:Computer Science - Undergraduate Final Year Projects

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