Publications
Multi-layer sensor fusion system enabling robust, privacy-aware tracking by combining BLE, Wi-Fi, and passive RF signals.
Demonstrates how encrypted ZigBee sensor traffic can be passively analyzed to infer human presence and routines.
Novel indoor tracking method using LiDAR and sensor fusion, achieving high localization accuracy with depth-only data.
ASIMOV: a Fully Passive WiFi Device Tracking
Passive Wi-Fi sensing framework for real-time device tracking without active probing.
Passive Bluetooth-based localization technique enabling fine-grained people tracking without user cooperation.
Detailed Publication List
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