Tianye Fang

Papers

Total Citations

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About

Tianye Fang is a researcher specializing in precise positioning technologies, with a focus on unmanned aerial vehicle (UAV) navigation and indoor localization systems. Their work bridges the gap between aerial and indoor positioning challenges, addressing critical accuracy limitations in both domains. Fang’s most cited paper, “UAV/RTS system based on MMCPF theory for fast and precise determination of position and orientation” (2021, 11 citations), introduces a novel approach combining UAVs with real-time kinematic systems to achieve rapid, high-precision position and orientation estimation—a key contribution to autonomous navigation and geospatial mapping. In a more recent study, “System and Method for Reducing NLOS Errors in UWB Indoor Positioning” (2024, 7 citations), Fang tackles the persistent problem of non-line-of-sight errors in ultra-wideband (UWB) indoor positioning systems, proposing an innovative method to enhance accuracy in complex indoor environments. This work is particularly impactful for applications in robotics, smart buildings, and emergency response. With a growing citation record, Fang’s contributions demonstrate a clear trajectory toward solving real-world positioning challenges, making their research highly relevant for students and engineers working on next-generation navigation systems.