LIAO Jianchi

Wuhan University

Papers

1

Total Citations

7

H-Index

1

About

Dr. Jianchi Liao is a leading researcher in multi-sensor fusion for autonomous navigation, specializing in simultaneous localization and mapping (SLAM) technologies. His most-cited work, "Tightly-coupled stereo visual-inertial-LiDAR SLAM based on graph optimization" (2022, 7 citations), addresses a critical limitation in modern robotics: the inadequacy of single-sensor SLAM for complex environments. Liao’s major contribution lies in developing a tightly-coupled framework that integrates stereo cameras, inertial measurement units, and LiDAR through graph optimization, significantly enhancing robustness and accuracy in challenging scenarios like GPS-denied or dynamic settings. This work directly supports applications in mobile robots, unmanned aerial vehicles, and self-driving cars. While his citation count is still growing, the paper’s foundational approach has already influenced subsequent research in sensor fusion. Liao’s achievements underscore his role in advancing autonomous systems toward greater reliability, making his research essential reading for engineers and students tackling real-world navigation challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Tightly-coupled stereo visual-inertial-LiDAR SLAM based on graph optimization
7 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Wuhan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago