The 1st International Workshop on Edge Computing for Connected and Autonomous Vehicles (EdgeCAV) in conjunction with ACM SEC'25, Washington, D.C., USA, [December 3-6, 2025]
Edge computing is emerging as a key enabler for the next generation of connected and autonomous vehicles (CAVs). As vehicles become increasingly software-defined and equipped with heterogeneous sensors, they demand low-latency, reliable, and scalable computation to support safety-critical perception, planning, and control. Traditional cloud-only solutions often fall short due to high communication latency, intermittent connectivity, and bandwidth limitations. Edge computing bridges this gap by bringing computation closer to vehicles—at roadside units (RSUs), edge servers, and even within vehicles themselves. This paradigm enables real-time data processing, collaborative perception, over-the-air (OTA) updates, and teleoperation support, while improving privacy, security, and energy efficiency.
Despite its promise, significant challenges remain. These include handling dynamic workloads, ensuring safety under uncertain wireless conditions, managing heterogeneous hardware/software stacks, supporting federated and collaborative learning, and designing robust edge-cloud coordination frameworks. EdgeCAV aims to provide a premier venue for researchers and practitioners to address these challenges and explore novel solutions at the intersection of edge computing and intelligent transportation.
Keynote Speaker
Dr. Xiaopeng (Shaw) Li
Harvey D. Spangler Professor, University of Wisconsin-Madison
Executive Director, Smart Highway Research Center (SHRC)
Title: Automated/Connected Vehicle Evaluation and Management with Edge Computing
Abstract: With increasing sensing and computing capacities, automated vehicles (AVs) enhanced with connectivity have a huge potential for edge computing tasks for evaluation and management. We will introduce a pipeline for an AV evaluation framework utilizing edge computing devices, including data collection, modeling, and evaluation methods. Relevant open source initiative, Open-PAV (production automated vehicles), will be introduced (https://github.com/OpenPAV/OpenPAV). We will also introduce how to use connected vehicle (CV) data integrating edge computing and cloud processing for real-time traffic management for both existing traffic and future cooperative driving automation.
Bio: Dr. Xiaopeng (Shaw) Li is currently Harvey D. Spangler Professor in the Department of Civil and Environmental Engineering and an affiliate in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison (UW). He serves as the Executive Director of Smart Highway Research Center (SHRC) at UW. He founded the Connected and Automated Transportation Systems Lab, which developed a multi-scale CAV testbed. Previously, he directed the USDOT National University Transportation Center (NICR). He is a recipient of the NSF CAREER award and has led over $35 million in federal, state, and industry-funded projects, plus $25 million in matching funds, mostly as the PI. He has published 140+ journal papers, holds a P.E. license in Wisconsin, is an ASCE Fellow, and an IEEE Senior Member. His research interests include autonomous vehicles (AV) evaluation, connected vehicles (CV), sensing with spatial intelligence, and transportation systems analysis.
Topics of Interest
We invite original research contributions and visionary ideas on edge computing for CAVs, including (but not limited to):
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Edge-assisted autonomous driving
- Collaborative perception, planning, and decision-making
- Edge support for mixed-autonomy scenarios (human-driven + autonomous vehicles)
- Edge-enabled teleoperation and remote driving Workload offloading and resource management
- Dynamic offloading of perception, prediction, and control tasks
- Adaptive task scheduling and QoS-aware resource allocation
- Resilience under mobility, handoffs, and network disruptions Data-driven intelligence at the edge
- Federated learning and collaborative training across vehicles
- Edge-enhanced simulation, testing, and digital twins for CAVs
- Event-driven OTA updates and online model adaptation Networking and communication
- C-V2X, 5G/6G, and hybrid wireless support for edge-CAV integration
- Reliable low-latency communication for safety-critical functions
- Edge coordination with vehicular ad hoc networks (VANETs) System design and security
- Safety, reliability, and fault tolerance in edge-assisted driving
- Security, privacy, and trust in edge-CAV ecosystems
- Scalable architectures for heterogeneous vehicles and RSUs Applications and case studies
- Smart intersections and cooperative traffic management
- Energy-efficient and sustainable edge-CAV solutions
- Real-world deployments, testbeds, and large-scale evaluations
Instructions for Authors
Only electronic submissions in PDF will be accepted. Submitted papers must be written in English and must be rendered without error using standard PDF viewing tools. Submitted papers must be no longer than 6 single-spaced 8.5'' x 11'' pages, including figures and tables, but excluding references, and using 10-point type on 12-point (single-spaced) leading, two-column format, Times Roman, or a similar font, within a text block 7.14'' wide x 9.22'' deep.
Submission Guidelines:
- Submitted papers must be original and not under consideration for publication elsewhere
- All papers should be formatted according to the ACM conference template
- Paper length: up to 6 pages, excluding references
- Accepted papers will be published in the workshop proceedings as part of ACM SEC 2025
Submission website: https://edgecav25.hotcrp.com/
At least one author for each accepted paper for the EdgeCAV Workshop 2025 must register for the workshop.
Students who register for the workshop will be eligible to apply for travel grants to support their participation.
Important Dates
Submission deadline: October 24, 2025
Notification of acceptance: October 29, 2025
Camera-ready papers due: November 1, 2025
Workshop date: December 6, 2025
Organization
EdgeCAV Workshop 2025 will be a full-day workshop with paper presentation sessions, invited talks, and discussions.
Organizing Committee
Workshop Co-Chairs
Ruimin Ke, Rensselaer Polytechnic Institute, USA
Sidi Lu, William & Mary, USA
Contact Information
For questions about the workshop, please contact the organizers.