Papers
1
Total Citations
38
H-Index
1
About
Kanghao Jia is a leading researcher in intelligent transportation systems, vehicular networks, and fog computing. His work focuses on enabling real-time, high-fidelity data exchange between connected vehicles and roadside infrastructure to enhance autonomous driving safety. His most-cited paper, “Efficient 3D Road Map Data Exchange for Intelligent Vehicles in Vehicular Fog Networks” (2019, 38 citations), addresses a critical challenge: extending vehicle perception beyond line-of-sight by dynamically downloading accurate 3D road map data in vehicular fog environments. This contribution helps detect hidden obstacles and blind spots, reducing collision risks. Jia’s research bridges the gap between network latency constraints and the high-bandwidth demands of autonomous navigation, proposing novel protocols for distributed data sharing. His work has influenced subsequent studies on cooperative perception and edge-assisted vehicular systems, with citations from top venues in communications and automotive engineering. By tackling the intersection of real-time mapping, fog computing, and vehicle-to-everything (V2X) communication, Kanghao Jia is advancing the foundational infrastructure for next-generation intelligent vehicles.
Research Focus
Key Achievements
Top Papers
- 1