Abstract

The Internet of Vehicles (IoV) is emerging as a key enabler of collaborative autonomous driving, where vehicles and infrastructure interact through V2X communications to achieve safe and efficient traffic operations. While single-vehicle intelligence has advanced rapidly, it remains constrained by limited onboard sensing and computing, leading to blind spots and incomplete decision-making. To unlock the full potential of IoV, collaborative perception, decision-making, and control are required. However, large-scale collaboration among vehicles and infrastructure imposes unprecedented demands on V2X networks: ultra-reliable, low-latency exchange of massive sensory data. Given the limited and dynamic nature of communication resources, transmitting all raw information is infeasible. The key challenge is thus to design intelligent SCC synergy mechanisms that determine what, when, and how to sense, communicate, and control in a resource-constrained, highly dynamic environment.

This motivates a new paradigm: Sensing-Communication-Control (SCC) Synergy in IoV systems. Such synergy can be achieved by leveraging a range of innovative approaches, including:

Value-of-Information (VoI)-driven communication and control, which quantifies the utility of sensed data for downstream tasks.

Task-oriented and learning-enabled SCC, which adapts decisions to dynamic traffic and network conditions.

Edge and distributed intelligence, which enables scalable, low-latency collaboration across heterogeneous vehicles and infrastructure.

This workshop invites original research contributions addressing theoretical foundations, algorithmic innovations, system design, and experimental validation of SCC synergy in IoV systems. It aims to bring together experts from wireless communications, control, distributed AI, and transportation systems to foster interdisciplinary advances in information-centric and task-oriented collaboration for the next generation of intelligent transportation.

We invite researchers and practitioners to submit their latest research and innovative solutions in SCC synergy for collaborative autonomous driving. Topics include but are not limited to:

Value-of-Information (VoI) theories and metrics in IoV systems
Task-oriented SCC synergy for collaborative autonomous driving
Resource allocation and scheduling for V2X networks under communication and computing constraints
Collaborative perception and control under constrained communication resources
Distributed and edge AI for intelligent SCC synergy
Joint optimization of sensing, communication, and control
Safety, reliability, and resilience guarantee in SCC synergy
Testbeds, simulations, and real-world validations of SCC synergy in IoV
Spectrum management, standardization, and regulatory aspects for IoV SCC synergy

Organizers:

Prof. Lei Lei, University of Guelph, Canada, Email: leil@uoguelph.ca
Dr. Jie Mei, Ningbo University, China, Email: meijie@nbu.edu.cn
Prof. Tarik Taleb, Ruhr University Bochum, Germany, Email: tarik.taleb@rub.de
Prof. Min Chen, South China University of Technology, China, Email: minchen@ieee.org
Dr. Manabu Tsukada, University of Tokyo, Japan, Email: mtsukada@g.ecc.u-tokyo.ac.jp
Dr. Hou Lu, Beijing University of Posts and Telecommunications, China, Email: houlu8674@bupt.edu.cn
Register your paper:

https://edas.info/newPaper.php?c=34607