Jinggao Bai

Tsinghua University

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

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
MD-RadioMap: Multi-Drone Radio Map Building via Single-Anchor Ultra-Wideband Localization Network
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Tsinghua University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago