Yiqun Dong
Papers
2
Total Citations
45
H-Index
2
About
Yiqun Dong is a leading researcher in autonomous aerial systems, specializing in air combat guidance and multi-agent localization. His work addresses two critical challenges in modern aviation: enabling autonomous decision-making for fighter aircraft in dynamic combat scenarios, and achieving precise relative positioning for integrated aerial platforms (IAPs). His highly cited 2019 review on autonomous air combat guidance and control (36 citations) provides a comprehensive historical perspective and future roadmap for this decades-old problem, highlighting the complexity of developing complete solutions. More recently, his 2024 paper on multi-agent visual-inertial localization (9 citations) introduces a novel loose-fusion approach combining odometry and kinematics for integrated aerial systems—a significant advancement over traditional UAV swarms, as it accounts for the physical connections between agents. This work has immediate applications in collaborative drone operations and aerial robotics. Dong’s contributions bridge the gap between theoretical control methodologies and practical deployment challenges, making him a key figure in the evolution of autonomous aerial combat and cooperative drone systems.
Research Focus
Key Achievements
Top Papers
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