Project description
New 5G design for driverless cars
Connected and autonomous vehicles (CAVs) represent a promising path towards road safety and efficiency. However, some barriers prevent the deployment of their entire potentiality, such as enhanced vehicle-to-vehicle (eV2V) services with millimetre wave (mmWave) communications and reliable cooperative perception with autonomous vehicles’ (AVs) sensors. The directional connectivity of mmWave shows new challenges for the whole protocol stack of V2V networks, and reliable cooperative perception requires a new design of deep learning models for object detection and fusion of sensor data from neighbour AVs. The EU-funded VESAFE project proposes an innovative cross-layer design to research the 5G eV2V schemes with mmWave and reliable cooperative perception for state-of-the-art CAV safety applications.
Objective
Connected and autonomous vehicles (CAV) holds great potentials for road safety and efficiency, but two major barriers need to be removed before its potentials can be fully unleashed: significantly enhanced vehicle to vehicle (eV2V) services with millimetre wave (mmWave) communications and reliable cooperative perception with autonomous vehicles (AV) sensors. However, the directional connectivity of mmWave presents new challenges for the whole protocol stack of V2V networks, while reliable cooperative perception requires novel design of deep learning (DL) models for object detection and fusion of sensor data from neighbour AVs. The above challenges underpinned by CAV demand a holistic design and tight integration of connected vehicles (CV) and AV technologies.
This innovative and multi-disciplinary project VESAFE will train the outstanding Fellow candidate to tackle the key challenges with complementary expertise and realize the full potentials of CAV. A novel cross-layer design is proposed for the research of 5th generation (5G) eV2V schemes with mmWave and reliable cooperative perception for advanced CAV safety applications: the eV2V schemes are AV oriented and greatly assisted by the AV cooperative perception, and the reliable cooperative perception is boosted by the awareness of V2V network conditions. And this project propose a novel integrated evaluation of 5G eV2V and CAV applications to support system design and performance characterization. Through the cutting-edge research, this innovative project will produce robust eV2V schemes and reliable cooperative perception solutions, make breakthrough on 5G V2V and CAV safety applications. It will significantly improve the Fellow’s employability and career prospects, strengthen knowledge transfer, boosting the research and innovation (R&I) capacity and research quality, therefore contributing to Europe’s competitiveness and growth in critical sectors of 5G/6G and AV.
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 mechanical engineering vehicle engineering automotive engineering autonomous vehicles
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications telecommunications networks mobile network 5G
- natural sciences computer and information sciences artificial intelligence computer vision object detection
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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 - Marie Skłodowska-Curie Individual Fellowships (IF)
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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-2020
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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.
CO4 3SQ Colchester
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.