Jinghui Fan

Northwestern Polytechnical University

Papers

1

Total Citations

15

H-Index

1

About

Dr. Jinghui Fan is a leading researcher in autonomous navigation and robotic perception, with a primary focus on visual simultaneous localization and mapping (SLAM) systems. Their most notable contribution is the development of LD-SLAM, a robust GNSS-aided multi-map method designed for long-distance visual SLAM, which addresses the critical challenge of continuous and precise localization in complex environments where GNSS signals may be intermittent or absent. This work has garnered 15 citations since its 2023 publication, reflecting its immediate relevance to the field. Dr. Fan’s research bridges the gap between visual odometry and inertial navigation, enabling autonomous robots and aircraft to operate reliably in GNSS-denied scenarios. Their innovative approach to multi-map fusion and sensor integration has significant implications for applications ranging from drone delivery to planetary exploration. By tackling the fundamental problem of robust localization under real-world constraints, Dr. Fan is advancing the frontier of autonomous systems, making their work essential reading for researchers and engineers developing next-generation navigation technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
LD-SLAM: A Robust and Accurate GNSS-Aided Multi-Map Method for Long-Distance Visual SLAM
15 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Northwestern Polytechnical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago