Jieying Zhang

Papers

Total Citations

H-Index

About

Jieying Zhang is a leading researcher in indoor navigation and sensor fusion, with a primary focus on integrating inertial navigation systems (INS) with wireless positioning technologies. Her work addresses the critical challenge of achieving accurate, continuous, and low-cost navigation in GPS-denied environments. Zhang’s major contributions center on developing enhanced INS/Wi-Fi integration frameworks, where she pioneered the use of adaptive Kalman filtering and vehicle constraints to significantly improve positioning accuracy and robustness. Her most-cited paper, "INS/Wi-Fi based indoor navigation using adaptive Kalman filtering and vehicle constraints" (2012), has garnered 41 citations, establishing a foundational approach for fusing complementary sensor data to overcome the limitations of standalone systems. In related work, she further refined these integration techniques to yield synergetic effects that boost navigation performance. Zhang’s research has direct implications for autonomous vehicles, logistics, and emergency response, where reliable indoor tracking is essential. Her innovative methodologies continue to influence the development of resilient, real-time navigation solutions, making her a respected voice in the field of indoor positioning and intelligent transportation systems.