Jinggao Bai
Papers
1
Total Citations
4
H-Index
1
About
Jinggao Bai is a pioneering researcher in autonomous aerial systems and wireless localization, whose work bridges the critical gap between drone navigation and communication infrastructure. His most cited paper, "MD-RadioMap: Multi-Drone Radio Map Building via Single-Anchor Ultra-Wideband Localization Network" (2023), introduces a groundbreaking framework that enables drones to construct real-time radio maps using only a single anchor point. This innovation is essential for next-generation logistics, where drones must maintain reliable cellular links and compensate for Global Navigation Satellite System (GNSS) limitations in cluttered environments. By demonstrating how ultra-wideband networks can simultaneously support localization and communication, Bai’s work has garnered early attention with 4 citations, signaling growing influence in the field. His contributions directly address the scalability challenges of multi-drone operations, offering a cost-effective solution for urban air mobility. Bai’s research is particularly notable for its practical implications: it provides a foundation for autonomous delivery fleets to navigate safely without constant GNSS dependency. As the demand for drone-based logistics accelerates, his work on radio map building positions him as a key architect of the infrastructure that will enable reliable, large-scale aerial operations.
Research Focus
Key Achievements
Top Papers
- 1