Xingqun Zhan
Papers
6
Total Citations
85
H-Index
3
About
Xingqun Zhan is a multidisciplinary researcher whose work spans integrated navigation systems, autonomous vehicle localization, and space sustainability technologies. With a career bridging robotics, satellite navigation, and orbital mechanics, Zhan has made notable contributions to the fields of sensor fusion and multi-system navigation. His most impactful work, the GICI-LIB library — a comprehensive GNSS/INS/Camera integrated navigation framework — has rapidly accumulated 42 citations since its 2023 publication, reflecting strong uptake within the autonomous systems and robotics communities. This open-source contribution addresses critical challenges in robust, high-accuracy positioning across diverse environments, making it a practical resource for researchers and engineers alike. Zhan's earlier work on adaptive fuzzy Kalman filtering for autonomous robot vehicles demonstrated his long-standing interest in intelligent sensor fusion, while his research on electrodynamic tethers for mega-constellation orbital maintenance (33 citations) highlights a compelling pivot toward space sustainability. More recently, his investigations into expandable net systems for debris removal underscore a commitment to addressing the growing problem of orbital congestion. Across these domains, Zhan exemplifies a researcher whose technical versatility connects terrestrial navigation challenges with the pressing demands of next-generation space infrastructure.
Research Focus
Key Achievements
Top Papers
- 1GICI-LIB: A GNSS/INS/Camera Integrated Navigation Library42 citations · 2023
- 2
- 3
- 4A Modified Kalman Filtering via Fuzzy Logic System for ARVs Location3 citations · 2007
- 5
- 6GICI-LIB: A GNSS/INS/Camera Integrated Navigation Library2 citations · 2023