The following table provides information about the project.
STATENS VAG- OCH TRANSPORTFORSKNINGSINSTITUT
|Coordinator Country||Sweden [SE]|
|Total cost||9˙609˙700 €|
|EC max contribution||8˙998˙950 € (94%)|
1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport)
|Duration (year-month-day)||from 2016-09-01 to 2020-02-29|
Take a look of project's partnership.
|1||STATENS VAG- OCH TRANSPORTFORSKNINGSINSTITUT||SE (LINKOEPING)||coordinator||701˙500.00|
|2||SCANIA CV AB||SE (SODERTALJE)||participant||758˙868.00|
|3||AUTOLIV DEVELOPMENT AB||SE (VARGARDA)||participant||490˙000.00|
|4||ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS||EL (THERMI THESSALONIKI)||participant||473˙125.00|
|5||VALEO COMFORT AND DRIVING ASSISTANCE||FR (CRETEIL)||participant||471˙875.00|
|6||DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV||DE (KOELN)||participant||464˙855.00|
|7||FORD-WERKE GMBH||DE (KOLN)||participant||456˙336.00|
|8||DENSO AUTOMOTIVE DEUTSCHLAND GMBH||DE (ECHING)||participant||442˙250.00|
|9||TECHNISCHE UNIVERSITAET CHEMNITZ||DE (CHEMNITZ)||participant||371˙875.00|
|10||SMART EYE AKTIEBOLAG||SE (GOTEBORG)||participant||315˙500.00|
|11||IDIADA AUTOMOTIVE TECHNOLOGY SA||ES (SANTA OLIVA)||participant||315˙350.00|
|12||DUCATI MOTOR HOLDING SPA||IT (BOLOGNA)||participant||307˙500.00|
|13||RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN||DE (AACHEN)||participant||306˙250.00|
|14||DAINESE SPA||IT (MOLVENA)||participant||274˙000.00|
|15||Continental Automotive GmbH||DE (HANNOVER)||participant||267˙970.00|
|16||FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.||DE (MUNCHEN)||participant||240˙000.00|
|17||TOMTOM GLOBAL CONTENT BV||NL (EINDHOVEN)||participant||225˙000.00|
|18||OSBORNE CLARKE||BE (BRUSSELS)||participant||218˙750.00|
|19||FONDATION PARTENARIAL MOV'EOTEC||FR (VERSAILLES)||participant||208˙925.00|
|20||PANEPISTIMIO PATRON||EL (RIO PATRAS)||participant||191˙250.00|
|21||OTTO-VON-GUERICKE-UNIVERSITAET MAGDEBURG||DE (MAGDEBURG)||participant||185˙557.00|
|22||UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA||IT (ROMA)||participant||176˙250.00|
|23||AUTOMOBIL CLUB ASSISTENCIA SA||ES (BARCELONA)||participant||175˙000.00|
|24||NATIONAL UNIVERSITY OF IRELAND GALWAY||IE (Galway)||participant||172˙500.00|
|25||FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS||EL (HERAKLION)||participant||166˙750.00|
|26||UPPSALA UNIVERSITET||SE (UPPSALA)||participant||164˙750.00|
|27||INSTITUT FRANCAIS DES SCIENCES ET TECHNOLOGIES DES TRANSPORTS, DE L'AMENAGEMENT ET DES RESEAUX||FR (MARNE LA VALLEE CEDEX 2)||participant||158˙750.00|
|29||STOCKHOLMS UNIVERSITET||SE (STOCKHOLM)||participant||147˙937.00|
|30||ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE||CH (LAUSANNE)||participant||0.00|
|31||TOMTOM INTERNATIONAL BV||NL (AMSTERDAM)||participant||0.00|
ADAS&ME (“Adaptive ADAS to support incapacitated drivers &Mitigate Effectively risks through tailor made HMI under automation”) will develop adapted Advanced Driver Assistance Systems, that incorporate driver/rider state, situational/environmental context, and adaptive interaction to automatically transfer control between vehicle and driver/rider and thus ensure safer and more efficient road usage. To achieve this, a holistic approach will be taken which considers automated driving along with information on driver/rider state. The work is based around 7 provisionally identified Use Cases for cars, trucks, buses and motorcycles, aiming to cover a large proportion of driving on European roads. Experimental research will be carried out on algorithms for driver state monitoring as well as on HMI and automation transitions. It will develop robust detection/prediction algorithms for driver/rider state monitoring towards different driver states, such as fatigue, sleepiness, stress, inattention and impairing emotions, employing existing and novel sensing technologies, taking into account traffic and weather conditions via V2X and personalizing them to individual driver’s physiology and driving behaviour. In addition, the core development includes multimodal and adaptive warning and intervention strategies based on current driver state and severity of scenarios. The final outcome is the successful fusion of the developed elements into an integrated driver/rider state monitoring system, able to both be utilized in and be supported by vehicle automation of Levels 1 to 4. The system will be validated with a wide pool of drivers/riders under simulated and real road conditions and under different driver/rider states; with the use of 2 cars (1 conventional, 1 electric), 1 truck, 2 PTWs and 1 bus demonstrators. This challenging task has been undertaken by a multidisciplinary Consortium of 30 Partners, including an OEM per vehicle type and 7 Tier 1 suppliers.
Work performed, outcomes and results: advancements report(s)
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The information about "ADASANDME" are provided by the European Opendata Portal: CORDIS opendata.
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