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Multi-Sensor Localization And Tracking In Disaster Management And Indoor Wayfinding For Visually Impaired Users, Zhuorui Yang
Multi-Sensor Localization And Tracking In Disaster Management And Indoor Wayfinding For Visually Impaired Users, Zhuorui Yang
Doctoral Dissertations
This dissertation proposes a series of multi-sensor localization and tracking algorithms particularly developed for two important application domains, which are disaster management and indoor wayfinding for blind and visually impaired (BVI) users. For disaster management, we developed two different localization algorithms, one each for Radio Frequency Identification (RFID) and Bluetooth Low Energy (BLE) technology, which enable the disaster management system to track patients in real-time. Both algorithms work in the absence of any pre-deployed infrastructure along with smartphones and wearable devices. Regarding indoor wayfinding for BVI users, we have explored several types of indoor positioning techniques including BLE-based, inertial, visual …