CCAuto 2020 - International Workshop on Computing and Communications for Autonomous Driving (CCAuto)

With the emergence of highly automated and autonomous driving vehicles, rigorous requirements in terms of responsiveness, security, resiliency and scalability are needed to enable new services that improve efficiency and safety on the road. The recent progress on 5G ultra reliable and low latency communications is paving the way to novel solutions that address these challenging requirements. To this end, a plethora of paradigms, (such as Fog/Multi-Access Edge computing, Software Defined Networking, Network Function Virtualization); emerging protocols for V2X communication (LTE-V, C-V2X, etc.) and advanced localization/navigation systems (3D High Definition maps, Advanced Driver Assistance Systems) have been proposed or are still under development to support future autonomous vehicles road safety use cases.
In addition, given the ever-increasing complexity of future networks, adding intelligence and agility to the control plane through Artificial Intelligence (AI) and Machine Learning (ML) becomes a promising trend to improve road monitoring and network resources. Therefore, in the path towards fully autonomous and safe coordinated driving, it is crucial to investigate how and up to which point the most recent computing and communication paradigms are able to meet the requirements of autonomous driving, be self-learning and adaptive to radio conditions and to the heterogeneity of new applications in terms of data rates, latency and hyper-connectivity.
In the spirit of WCNC, this workshop aims at favoring a multidisciplinary, cross-layer perspective to computing and communication technologies for autonomous and cooperative driving, bringing together researchers, developers, and practitioners from academia and industry.
Topics of Interest:
We invite paper submissions including, but not limited to the topics listed below:
Use case requirements for autonomous vehicles
Cellular vehicle-to-everything communication
Multi-Access Edge computing for Ultra-reliable and low-latency communication
AI-Empowered Vehicular Networks
Network slicing and multi-tenancy in next generation of vehicular networks
Fog-based zero-time handover mechanisms
Caching techniques for enabling ultra-low latency services.
Network and resources management
Mobility-aware spectrum sharing
Big Data stream processing and analytics techniques
Named Data Networking for autonomous vehicles
3D HD dynamic mapping and accurate positioning
ADAS systems for autonomous vehicles
Augmented and Virtual Reality for autonomous driving
Security issues in 5G for autonomous cooperative driving
IMPORTANT DATES:
Paper submission: December 31, 2019
Notification date: January 31, 2020
Final paper due: February 15, 2020
PAPER SUBMISSION:
All submissions should be written in English with a maximum paper length of eight (8) printed pages (10-point font) including figures.
Submission link: https://edas.info/newPaper.php?c=26944&track=10003...