Huawei Liu

Air Force Engineering University

Papers

1

Total Citations

8

H-Index

1

About

Huawei Liu is a leading researcher in autonomous systems and multi-sensor fusion, with a particular focus on small unmanned aerial vehicles (UAVs). His work addresses one of the most critical challenges in drone navigation: achieving reliable autonomous localization in GPS-denied environments. In his highly cited 2017 paper, "Small UAV autonomous localization based on multiple sensors fusion," Liu proposed a novel algorithm that integrates onboard camera data with pressure and orientation sensors to enable precise localization without the need for pre-built maps. This contribution has been foundational for researchers working on resilient drone operations in indoor, urban, or contested settings. With 8 citations on this single work, Liu’s research demonstrates clear impact in the field of aerial robotics. His innovative approach to sensor fusion—combining visual, barometric, and inertial data—offers a practical, lightweight solution for small UAVs, advancing the state of the art in autonomous navigation. Liu’s work continues to inspire new methods for robust, GPS-free localization, making him a notable figure in the development of next-generation autonomous aerial systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Small UAV autonomous localization based on multiple sensors fusion
8 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Air Force Engineering University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago