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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences computer and information sciences data science data exchange
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
EX4 4QJ Exeter
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.