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