Mobile indoor positioning using wi-fi localization and image processing

• Main Authors: Chua Ching, Jeleen Bianca P., Domingo, Carolyn C., Iglesia, Kyla O., Ngo, Courtney Anne M., Chua, Nellie
• Format: text
• Published: Animo Repository 2012
• Subjects: Indoor positioning systems (Wireless localization); Mobile geographic information systems; Image processing; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/8416
• Institution: De La Salle University

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.