Objective
When we drive, our safety is protected by a set of technologies that silently watch over the car’s behaviour, intervening to
minimise the risk of accidents. The Electronic Stability Control (ESC) is by far the most impactful safety technology in cars,
having reduced by around 40% the number of fatal accidents caused by the vehicle’s loss of control. Although effective, any
ESC on the market suffer from one significant flaw: it cannot directly measure the sideslip angle, which is the key indicator of
skidding, namely the situation when the car deviates from the driver’s intended direction. The result is that present ESC can
detect up to 80% of skidding events, thus still leaving room for improvements that can save lives. To address this issue and
catch a huge market opportunity, Modelway has developed a machine learning technology able to accurately estimate the
vehicle’s sideslip angle in real time. And without adding any new sensor to the car. The key to obtain this result is the
proprietary and patented Direct Virtual Sensor technology, which can be embedded in standard ESC units to further improve
the vehicle’s capacity to detect a skidding event. The DVS technology has been prototyped and extensive tests have been
carried out with car manufacturers and their Tier-1 suppliers, showing that the performances are already in line with the
expectations of a highly regulated industry as automotive. Now the development roadmap focuses on understanding the
feasibility of the integration of the DVS technology in commercial ESC units (Phase 1), to enable a co-development effort
with global ESC manufacturers (e.g. Bosch, Magneti Marelli) leading to a pre-commercial validation test-bed (Phase 2). In
terms of business potential, with around 100 million cars sold each year globally and around 50 in Europe and the US where
the use of ESC is mandatory since 2014, we target more than 4 million DSV installed in cars by 2025, leading to more than
28 M€ of revenues.
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
- natural sciences computer and information sciences software
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences computer and information sciences artificial intelligence machine learning
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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
See all projects funded under this callCoordinator
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.
10144 TORINO
Italy
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.