Zhenhua Zou
Papers
1
Total Citations
15
H-Index
1
About
Dr. Zhenhua Zou is a leading researcher at the intersection of edge computing, the Internet of Vehicles (IoV), and autonomous systems. His work addresses the critical challenge of enabling real-time, computationally intensive tasks—such as visual odometry—on resource-constrained mobile platforms. Dr. Zou’s most cited paper, "Visual Odometry Offloading in Internet of Vehicles with Compression at the Edge of the Network" (2019, 15 citations), pioneers a framework that strategically offloads visual processing from vehicles to edge nodes, employing novel data compression techniques to minimize latency and bandwidth usage. This contribution is foundational for the shift from cloud-centric IoT to distributed fog and edge paradigms, directly impacting the feasibility of autonomous navigation and cooperative driving. By tackling the bottleneck of communication overhead, Dr. Zou’s work enables more responsive and efficient vehicular networks. His research is instrumental for students and engineers developing next-generation intelligent transportation systems, demonstrating how edge intelligence can unlock the full potential of autonomous robots and connected vehicles in real-world, latency-sensitive environments.
Research Focus
Key Achievements
Top Papers
- 1