Jing Fan

Papers

Total Citations

106

H-Index

About

Jing Fan is a prominent researcher specializing in robust navigation systems, with a particular focus on the integration of inertial navigation systems (INS), GNSS, and visual sensing technologies. His most notable contribution, IC-GVINS, introduced an innovative INS-centric approach to GNSS-Visual-Inertial Navigation that addresses the well-known vulnerabilities of visual navigation systems in complex, real-world environments. By centering the system architecture around INS — which remains unaffected by external environmental factors — Fan's framework achieves enhanced robustness and real-time performance, making it highly applicable to autonomous vehicles, robotics, and precision positioning applications. Published in 2022, IC-GVINS has already accumulated 106 citations, reflecting its rapid adoption and significant influence within the navigation and robotics research communities. Fan's work exemplifies a deep understanding of the complementary strengths of multi-sensor fusion, and his engineering-driven approach bridges the gap between theoretical navigation science and practical deployment challenges. For students and researchers working in autonomous systems, sensor fusion, or state estimation, Jing Fan's contributions represent an important and highly actionable body of work in modern navigation technology.