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Adaptive ADAS to Support Incapacitated Drivers Mitigate

Effectively Risks Through Tailor Made HMI Under Automation

General information
Europe EC
From 2016/09/01 to 2020/02/29 Ongoing
Project Coordinator
VRA, the network of automation

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.


  • Develop Advanced driver Assistance Systems (ADAS) to incorporate driver state, situational/ environmental context and adaptive interaction.
  • Design a system to transfer the control between vehicle and driver, so that safer and more efficient road usage is ensured for all types of vehicles; from conventional and electric car, truck or bus to motorcycles.
  • 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 behavior.


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.

Related Projects


  • VTI
  • Hellenic Institute of Transport CERTH/HIT
  • DLR
  • Fraunhoer
  • La Sapienza
  • Teschnische Universitat Chemnitz
  • Stocolm University
  • NUI Galway
  • University of Patras
  • RWTH Aachen University
  • Otto Von Guericke University
  • EPFL
  • Ford
  • Ducati
  • Vedecom
  • Valeo
  • Denso
  • Dainese
  • Autoliv
  • Continetal
  • TomTom
  • Smart Eye
  • Applus+IDIADA
  • Osborne Clarke
  • RACC
  • Humanist


Total cost: € 9.609.700 / EU contribution: € 8.998.950

Funded under the call: H2020-MG-2015

Topic: MG-3.6a-2015 - Safe and connected automation in road transport