RIS CUTTING EDGE FOURM
Collaborative Perception via V2X Communications
基于V2X通信的协同感知
Collaborative Perception via V2X Communications
- RISTA CUTTING EDGE FORUM Season 4 Session 20
- Time：8 pm-9 pm, November 3rd, 2025.
- Speaker guest：Prof.Sheng Zhou
- Chair guest：Prof.Linglong Dai
Compared to single-vehicle intelligence, Collaborative Perception (CP) can effectively enhance the perception reliability of autonomous driving. However, the limited bandwidth of Vehicular-to-Everything (V2X) networks poses significant challenges to information exchange between vehicles and between vehicles and infrastructure. Additionally, the dynamic poses of sensors across different vehicles and time synchronization issues further complicate the design of collaborative perception algorithms. To address these challenges, this presentation will introduce our research work on fusion methods for collaborative perception and cooperative object scheduling in V2X networks, as well as the simulation demonstration platform and datasets we have developed.
Sheng Zhou received the B.E. and Ph.D. degrees in electronic engineering from Tsinghua University, Beijing, China, in 2005 and 2011, respectively. In 2010, he was a visiting student with the Wireless System Laboratory, Department of Electrical Engineering, Stanford University, Stanford, CA, USA. From 2014 to 2015, he was a Visiting Researcher with the Central Research Laboratory, Hitachi Ltd., Tokyo, Japan. He is currently an Associate Professor with the Department of Electronic Engineering, Tsinghua University. His research interests include cross-layer design for multiple antenna systems, mobile edge computing, vehicular networks, and green wireless communications. Dr. Zhou received the IEEE ComSoc Asia–Pacific Board Outstanding Young Researcher Award in 2017 and the IEEE ComSoc Wireless Communications Technical Committee Outstanding Young Researcher Award in 2020.
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