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About

Yulu Fu is a leading researcher in the field of radio-frequency identification (RFID) and sensor fusion for object localization and tracking. Her work addresses a fundamental challenge in RFID technology: while it offers contactless identification, it inherently lacks distance and bearing information, limiting positioning accuracy. Fu’s major contributions lie in developing innovative hybrid systems that combine UHF RFID phase data with laser ranging and clustering techniques. Her 2018 paper, "Moving Object Localization Based on UHF RFID Phase and Laser Clustering," has garnered 33 citations, establishing a foundational approach for precise moving object localization. She advanced this work in 2019 with a method using RFID tag arrays to overcome signal blockage by the human body, achieving improved accuracy in tracking moving objects and humans. Her third highly cited paper (9 citations) further refines continuous tracking by integrating RFID with laser range finders. Through these contributions, Fu has significantly enhanced the practical applicability of RFID for real-time, high-accuracy localization in logistics, robotics, and human-computer interaction, making her a notable innovator in sensor-based tracking systems.