Shufen Liu
Papers
1
Total Citations
2
H-Index
1
About
Shufen Liu’s research focuses on unmanned aerial vehicle (UAV) systems, particularly collaborative navigation and target localization. Her most-cited work, “Research on Hardware-in-loop simulation for two collaborative UAVs target localization,” introduced a novel hardware-in-loop (HIL) simulation system using a Cartesian-coordinate robot to test and verify algorithms for target detection, tracking, and localization in multi-UAV teams. This contribution provides a practical, laboratory-based method for evaluating collaborative UAV performance before real-world deployment, bridging the gap between theoretical algorithms and field testing. While her citation count is modest, the work’s significance lies in its foundational approach to HIL simulation for multi-agent systems—a critical tool for advancing autonomous drone operations. Liu’s research supports the development of robust, cooperative UAV technologies for applications in surveillance, mapping, and search-and-rescue. Her efforts underscore the importance of simulation in reducing costs and risks during UAV algorithm development, making her a valuable contributor to the field of autonomous systems engineering.
Research Focus
Key Achievements
Top Papers
- 1