Papers
1
Total Citations
4
H-Index
1
About
Ruihang Yu is a researcher focused on autonomous navigation, multi-sensor fusion, and cooperative swarm intelligence for unmanned systems. His work addresses the critical challenge of enabling low-cost, low-accuracy navigation sensors (LANs) to achieve high-precision positioning by leveraging information from high-accuracy nodes (HANs) within a collaborative swarm. In his notable 2023 paper, "Attitude Determination for Unmanned Cooperative Navigation Swarm Based on Multivectors in Covisibility Graph," Yu introduced a novel framework that uses multivector representations within a covisibility graph to fuse navigation data across heterogeneous swarm nodes. This approach significantly enhances attitude determination accuracy for LANs without requiring expensive hardware upgrades. Though early in his career, his contributions are gaining traction, with this work already accumulating 4 citations and laying a foundation for scalable, cost-effective swarm navigation. Yu’s research is particularly impactful for applications in drone swarms, autonomous exploration, and distributed sensing, where balancing cost and precision is paramount. His work promises to advance the practicality of cooperative navigation in GPS-denied environments.
Research Focus
Key Achievements
Top Papers
- 1