Objective
The key to avoiding road accidents is to extend drivers' time/space horizon in their perception of safety-relevant information, and to improve the precision, reliability and quality of this information. The extent of 'perception' of autonomous vehicle-based systems cannot obviously go beyond the operative range of the sensors. Although effective real time awareness of the vehicle's "surrounding environment" can be achieved, this clearly has limits. Extended coverage is possible only through collaboration between the infrastructure's and the vehicles' sensing abilities. By combining data from roadside sensors and data made available by vehicles in the vicinity, advance knowledge can be gained of potential safety risks, e.g. an icy patch, fog bank, obstacle or accident on the road ahead (but out of sight). The communication of warnings and advice to approaching vehicles (both directly to onboard units and via roadside signals) will provide the extra reaction time necessary to prevent an accident occurring.
One of the main aims of SAFESPOT is to develop a "Safety Margin Assistant" which will extend "in space and time" the safety information available to drivers by:
-using both the infrastructure and vehicles as sources (and destinations) of safety-related information, and definition of an open, flexible and modular communications architecture;
-developing the key enabling technologies: accurate relative localisation, ad-hoc dynamic networking, dynamic local traffic maps;
-developing a new generation of infrastructure-based sensing techniques;
-testing scenario-based applications to evaluate the impacts and end-user acceptability;
-defining the practical implementation of such systems, especially in the interim period when not all vehicles will be equipped;
-evaluating the liability aspects, regulations and standardisation issues which can affect implementation: involvement of public authorities from the early stages will be a key factor for future deployment.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology mechanical engineering vehicle engineering automotive engineering autonomous vehicles
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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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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.
Coordinator
ORBASSANO (TO)
Italy
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Participants (50)
ROMA
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37135 VERONA
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1521 PF 91 BUDAPEST
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BERGISCH GLADBACH
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2628 XE DELFT
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PARIS CEDEX 16
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29590 MALAGA
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10128 TORINO
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92310 SEVRES
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22023 SAINT BRIEUC
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D-60488 FRANKFURT AM MAIN
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38100 TRENTO
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361 THERMI-THESSALONIKI
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70567 STUTTGART
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51147 KOELN
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1050 BRUSSEL
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BOECILLO (VALLADOLID)
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22179 HAMBURG
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10682 ATHENS
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TORINO
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55110 JONKOPING
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75732 PARIS
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44800 ST HERBLAIN
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20011 CORBETTA
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2500 EX DEN HAAG
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CV10 0TU NUNEATON WARWICKSHIRE
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10126 TORINO
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VELDHOVEN
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000 'S-HERTOGENBOSCH
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3821 BR AMERSFOORT
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PONTEDERA
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00-661 WARSZAWA
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76131 KARLSRUHE
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000 TRONDHEIM
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92100 BOULOGNE BILLANCOURT
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47008 VALLADOLID
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106050 GERLINGEN-SCHILLERHOEHE
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80333 MUENCHEN
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31400 TOULOUSE
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CHEMNITZ
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S HERTOGENBOSCH
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28043 MADRID
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EC3A 5BA LONDON
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28040 MADRID
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16126 GENOVA
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781 87 BORLAENGE
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02044 ESPOO
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405 08 GOETEBORG
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