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Vision Inspired Driver Assistance Systems

Vision Inspired Driver Assistance Systems

Objective

Road accidents continue to be a major public safety concern. Human error is the main cause of accidents. Intelligent driver systems that can monitor the driver’s state and behaviour show promise for our collective safety. VI-DAS will progress the design of next-gen 720° connected ADAS (scene analysis, driver status). Advances in sensors, data fusion, machine learning and user feedback provide the capability to better understand driver, vehicle and scene context, facilitating a significant step along the road towards truly semi-autonomous vehicles. On this path there is a need to design vehicle automation that can gracefully hand-over and back to the driver. VI-DAS advances in computer vision and machine learning will introduce non-invasive, vision-based sensing capabilities to vehicles and enable contextual driver behaviour modelling. The technologies will be based on inexpensive and ubiquitous sensors, primarily cameras. Predictions on outcomes in a scene will be created to determine the best reaction to feed to a personalised HMI component that proposes optimal behaviour for safety, efficiency and comfort. VI-DAS will employ a cloud platform to improve ADAS sensor and algorithm design and to store and analyse data at a large scale, thus enabling the exploitation of vehicle connectivity and cooperative systems. VI-DAS will address human error analysis by the study of real accidents in order to understand patterns and consequences as an input to the technologies. VI-DAS will also address legal, liability and emerging ethical aspects because with such technology comes new risks, and justifiable public concern. The insurance industry will be key in the adoption of next generation ADAS and Autonomous Vehicles and a stakeholder in reaching L3. VI-DAS is positioned ideally at the point in the automotive value chain where Europe is both dominant and in which value can be added. The project will contribute to reducing accidents, economic growth and continued innovation.
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Coordinator

FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH

Address

Paseo Mikeletegi Parque Tecnologico De Miramon 57
20009 Donostia San Sebastian

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 811 603,75

Participants (18)

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AKIANI

France

EU Contribution

€ 207 500

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

France

EU Contribution

€ 502 511,25

DUBLIN CITY UNIVERSITY

Ireland

EU Contribution

€ 371 250

Honda Research Institute Europe GmbH

Germany

EU Contribution

€ 442 500

IBM IRELAND LIMITED

Ireland

EU Contribution

€ 600 625

INSTITUT FRANCAIS DES SCIENCES ET TECHNOLOGIES DES TRANSPORTS, DE L'AMENAGEMENT ET DES RESEAUX

France

EU Contribution

€ 373 792,50

INTEL DEUTSCHLAND GMBH

Germany

EU Contribution

€ 312 500

INTEMPORA

France

EU Contribution

€ 226 250

KARLSRUHER INSTITUT FUER TECHNOLOGIE

Germany

EU Contribution

€ 211 250

TASS INTERNATIONAL MOBILITY CENTER BV

Netherlands

TASS INTERNATIONAL

Netherlands

EU Contribution

€ 359 375

TOMTOM INTERNATIONAL BV

Netherlands

TECHNISCHE UNIVERSITEIT EINDHOVEN

Netherlands

EU Contribution

€ 342 715

UNIVERSITY OF LIMERICK

Ireland

EU Contribution

€ 273 928,75

VALEO SCHALTER UND SENSOREN GMBH

Germany

EU Contribution

€ 699 375

XL INSURANCE COMPANY SE

United Kingdom

EU Contribution

€ 43 455

TOMTOM GLOBAL CONTENT BV

Netherlands

EU Contribution

€ 338 750

TRANSGERO LIMITED

Ireland

EU Contribution

€ 107 865

Project information

Grant agreement ID: 690772

Status

Ongoing project

  • Start date

    1 September 2016

  • End date

    31 August 2019

Funded under:

H2020-EU.3.4.

  • Overall budget:

    € 6 225 246,25

  • EU contribution

    € 6 225 246,25

Coordinated by:

FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH

Spain

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