Mobile indoor positioning using wi-fi localization and image processing
College of Computer Studies
At present, there has been an increased interest in indoor positioning systems that propelled researchers to come up with various solutions. A number of these research either use Wi-fi Localization or image processing; each having problems with either accuracy or speed. In this paper, we propose a framework which will use both Wi-fi Localization and image processing to address this problem. The framework used Wi-fi Localization to calculate the estimated position of the user then refine the accuracy through image processing. The designed framework was able to surpass the performance of Wi-fi Localization algorithms in accuracy, and image processing in speed. Different techniques were also applied that improved accuracy and made the system calculate for the location faster.
Chua Ching, J. P., Domingo, C. C., Iglesia, K. O., Ngo, C. M., & Chua, N. (2012). Mobile indoor positioning using wi-fi localization and image processing. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/8416
Indoor positioning systems (Wireless localization); Mobile geographic information systems; Image processing