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MACROSS SIGNED

Multimedia Communication and Processing over Vehicular Cloud Networks for AutonomousDriving

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MACROSS" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF EXETER 

Organization address
address: THE QUEEN'S DRIVE NORTHCOTE HOUSE
city: EXETER
postcode: EX4 4QJ
website: www.ex.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-03-01   to  2020-02-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF EXETER UK (EXETER) coordinator 195˙454.00

Map

 Project objective

Autonomous driving technologies have recently drawn enormous research attention. It is predicted that autonomous driving will become the most promising form of future Intelligent Transportation Systems (ITS) and will gradually gain market traction in the coming decade. Although several automobile manufacturers have recently demonstrated prototypes, a great number of technical challenges should be addressed in order to reap the full potential of autonomous driving. This project aims to pioneer a framework that leverages innovative multimedia communication and processing technologies for efficient sensor data exchange in order to support autonomous driving application over vehicular cloud networks (VCNs). The project is unique in its ground-breaking integration of two challenging technical aspects over VCNs: multimedia-driven vehicular wireless communications and network-aware adaptive multimedia processing. The interaction and mutual promotion between these two aspects will enable each to design more efficient operational procedure and protocols.

The techniques to be developed will fill important gaps in the fundamental understanding of sensing data communication and processing technologies over VCNs, and will also provide the underpinning for system design and algorithm implementation for autonomous driving technologies. To accomplish the scientific objectives of the project, a series of research, training, and knowledge transfer activities will be carried out. The project will enable the fellow to broaden an interdisciplinary research background and greatly improve his career competence. It will lay the foundation for future long-term collaborations between the fellow and the hosting university, leading to greater social and industrial impacts and benefitting both EU and China.

 Publications

year authors and title journal last update
List of publications.
2018 Chao Wang, Ping Wang, Fuqiang Liu, and Geyong Min
New Achievable Sum Degrees of Freedom in Half-Duplex Single-Antenna Multi-User Multi-Hop Networks
published pages: 2840-2854, ISSN: 0090-6778, DOI:
IEEE Transactions on Communication vol. 66, no. 7 2019-06-11
2018 Rui Chen, Weijun Xing, Chao Wang, Ping Wang, Fuqiang Liu, Yusheng Ji
Network-coding-based Cooperative V2V Communication in Vehicular Cloud Networks
published pages: , ISSN: , DOI:
Chinacom 2018 - 13th EAI International Conference on Communications and Networking in China, 23-25 October 2018, Chengdu, China 2019-05-28

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The information about "MACROSS" are provided by the European Opendata Portal: CORDIS opendata.

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