Project description
More powerful processor units for self-driving cars
By 2024, more than 1.5 million cars in Europe will be conditionally automated, allowing drivers to turn their attention away from the road by handing over control to the system. This is classified as Level 3 automation – a precursor to self-driving vehicles (Level 5). Fully autonomous cars (with performance equal to that of a human driver) require substantially high processing power that is not currently available with today’s microprocessors, which are either high-performance but not power efficient, or low-power but unable to reach top performance. The EU-funded XPU project will develop a modular architecture solution to reach high performance at low power. The aim is to strike a balance between performance, security and power consumption.
Objective
According to Frost & Sullivan (2017), https://store.frost.com/global-autonomous-driving-market-outlook-2018.html(opens in new window) in 2024 there will be in Europe more than 1.5 million cars which will have at least conditional automation with each car requiring an average of about 2000€ in chips to enable automatic driving. Thus the total available market in Europe will reach 3000M€ in 5 years with a robust CAGR of 30%. Markets in USA and China will be of similar size.
The requirements for Level 5 autonomous cars (fully-autonomous vehicles with performance equal to that of a human driver in every driving scenario including extreme environments) will require substantially high processing power not currently available with today’s microprocessors. Processors in future cars not only must deliver increasing higher computing power but also they must do so as efficiently (low-power) as possible given strict automotive safely constraints. Furthermore, fully-autonomous cars require robust real-time features and dynamic balance between safety, performance and power. In contrast, current microprocessors are either high-performance but are not power efficient (e.g. Intel), or are low-power but unable to reach top performance (e.g. ARM), and generally do not have a strong real-time capability. These key bottlenecks are hindering advances towards fully automated vehicles. MOSAIK has defined a novel modular architecture designed from the ground-up to solve these urgent challenges.
To keep European Industry leadership (https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/a-long-term-vision-for-the-european-automotive-industry(opens in new window)) setting the framework for car connectivity and user experience is a must. And to do so European industry needs a European Semiconductor company able to reach very high-performance at low power and provide the balance between performance, security and power consumption the industry is asking for.
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 electronic engineering computer hardware computer processors
- social sciences sociology industrial relations automation
- natural sciences physical sciences electromagnetism and electronics semiconductivity
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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.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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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.
SME-1 - SME instrument phase 1
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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-EIC-SMEInst-2018-2020
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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.
08034 BARCELONA
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.