Xinyuan Qiao
Papers
2
Total Citations
41
H-Index
2
About
Xinyuan Qiao is a leading researcher in indoor localization, with a primary focus on ultra-wideband (UWB) time-difference-of-arrival (TDOA) systems. Their most significant contribution is the creation of the UTIL dataset—the first comprehensive public benchmark for UWB TDOA-based positioning, which has become an essential resource for the field. This work, published in 2024 and cited 34 times, addresses a critical gap by providing standardized data for studying low-cost, scalable indoor localization solutions, particularly for multi-robot applications. Qiao’s research has directly enabled reproducible comparisons and accelerated advancements in this area. Their earlier 2022 version of the dataset, with 7 citations, laid the groundwork for this impact. By democratizing access to high-quality UWB TDOA data, Qiao has empowered researchers and engineers to develop more robust and efficient indoor navigation systems. Their work stands out for its practical relevance, bridging the gap between theoretical localization algorithms and real-world deployment in robotics and IoT.
Research Focus
Key Achievements
Top Papers
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