Papers
1
Total Citations
36
H-Index
1
About
Ning Ye is a leading researcher at the intersection of the Internet of Things (IoT), computer vision, and radio frequency identification (RFID) technologies. Their work focuses on solving fundamental challenges in 3D object localization, particularly in environments where traditional positioning systems fail. Ye’s most notable contribution is the development of RF-MVO, a pioneering system that fuses COTS RFID devices with monocular cameras to achieve precise 3D localization without requiring knowledge of the reader antenna’s trajectory. This breakthrough, published in a 2019 paper with 36 citations, addresses a critical limitation in RFID-based tracking for robot and drone systems. By integrating computer vision with RFID, Ye has opened new pathways for robust, cost-effective localization in unpredictable environments. Their research has significant implications for warehouse automation, autonomous navigation, and smart infrastructure. With a growing citation impact, Ning Ye continues to push the boundaries of sensor fusion, demonstrating how combining low-cost RFID with visual data can achieve performance previously reserved for expensive laser-based systems. Their work stands as a key reference for researchers exploring hybrid sensing solutions in IoT and robotics.
Research Focus
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Top Papers
- 1