ADASANDME | Adaptive ADAS to support incapacitated drivers Mitigate Effectively risks through tailor made HMI under automation

Summary
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.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/688900
Start date: 01-09-2016
End date: 29-02-2020
Total budget - Public funding: 9 609 700,00 Euro - 8 998 950,00 Euro
Cordis data

Original description

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.

Status

CLOSED

Call topic

MG-3.6a-2015

Update Date

27-10-2022
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Horizon 2020
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.4. SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
H2020-EU.3.4.0. Cross-cutting call topics
H2020-MG-2015_TwoStages
MG-3.6a-2015 Safe and connected automation in road transport