Haiyan Xu

Papers

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About

Haiyan Xu is a researcher whose work centers on distributed sensor fusion and heterogeneous data integration for mobile target positioning. Her key research areas include multi-sensor data fusion, target tracking, and intelligent navigation systems. Her most notable contribution, the 2020 paper "Stable positioning for mobile targets using distributed fusion correction strategy of heterogeneous data," introduces a novel fusion correction strategy that enhances the accuracy and stability of positioning in dynamic environments. This work addresses critical challenges in combining data from diverse sensor types—such as GPS, inertial measurement units, and vision systems—to achieve reliable localization for autonomous vehicles and mobile robots. With 5 citations, this paper has laid groundwork for further advancements in robust positioning under uncertain conditions. Xu's research is particularly impactful in the context of autonomous systems, where precise and stable positioning is essential for safety and efficiency. Her work continues to influence the development of more resilient navigation technologies, making her a valuable contributor to the fields of sensor fusion and mobile robotics.