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Automated Driving Applications & Technologies for Intelligent Vehicles
General information
Category:Europe EC DG CONNECT
From 01/01/2014 to 30/06/2017 In Progress

Aria Etemad (

Volkswagen Group Research

AdaptIVe develops various automated driving functions for daily traffic by dynamically adapting the level of automation to situation and driver status. Further, the project addresses legal issues that might impact successful market introduction.


The targets for research and developments are the following:

  • Demonstrate automated driving in complex traffic environments. Test integrated applications in all possible scenarios taking into account the full range of automation levels.
  • Enhance the perception performance in complex scenarios by using advanced sensors supported by cooperative and communication technologies.
  • Provide guidelines for the implementation of cooperative controls involving both drivers and automation.
  • Define and validate specific evaluation methodologies.
  • Assess the impact of automated driving on European road transport.
  • Evaluate the legal framework with regards to existing implementation barriers.

The project is composed by seven sub-projects

    • SP1: Integrated project management
    • SP2: Response 4 (legal issues)
    • SP3: Human-vehicle integration – collaborative automation
    • SP4: Automation in close-distance scenarios
    • SP5: Automation in urban scenarios
    • SP6: Automation in highway scenarios
    • SP7: Evaluation


To date, six different experiments have been carried out covering various topics in vehicle simulator environments to investigate research questions regarding the interaction between the driver and the automated vehicle. In total more than 150 people participated in the first round of simulator studies conducted by AdaptIVe partners University of Leeds, Volvo Car Corporation, Volvo Technology, German Aerospace Center (DLR) and Würzburg Institute for Traffic Sciences. The key topics of the experiments included an exploration of the transition between automated and manual driving, and investigations of how drivers’ behavior is affected by particular traffic situations and system failures. The research indicates that contextual factors can influence drivers’ interaction behaviour.

On May 2016, AdaptIVe announced that all the demonstrator vehicles are now equipped with the necessary hardware to implementing functionalities for automated driving. Seven passenger cars and one truck were built-up. All demonstrator vehicles share a set of capabilities essential for automation levels from assistance up to high automation as realised in AdaptIVe:

  • An electric steering wheel actuator for lateral manoeuvres
  • Automated driveline and brake control for longitudinal manoeuvres
  • Forward looking long range radar
  • Forward looking camera
  • Sensors for 360 degree coverage, although of different types
  • Project specific HMI modified for automation

The design and implementation phase of the AdaptIVe project is now finalised and based on the demonstrators, the project shifts to iterative improvement and evaluation of the created technology.

Related Projects

InteractIVe, HAVEit


  • Volkswagen AG
  • Julius-Maximilians Universitaet Wuerzburg
  • Adam Opel AG
  • Continental Automotive Gmbh
  • Wivw Wuerzburger Institut fur Verkehrswissenschaften Gmbh
  • Bundesanstalt fuer Strassenwesen
  • Ford-Werke gmbh
  • Continental Teves AG & CO. Ohg
  • Delphi Deutschland Gmbh
  • Bayerische Motoren Werke Aktiengesellschaft
  • Robert bosch gmbh
  • Rheinisch-Westfaelische Technische Hochschule Aachen
  • Deutsches Zentrum fuer Luft - und Raumfahrt ev
  • European Center for Information and Communication Technologies Gmbh
  • Daimler AG
  • Fundacion para la Promoción de la Innovación, Investigación y Desarrollo Tecnológico en la Industria de Automoción de Galicia
  • Peugeot Citroen Automobiles S.A.
  • Renault SAS
  • Institute of Communication and Computer Systems
  • Alcor di Giancarlo Alessandretti
  • Universita degli Studi di Trento
  • Centro Ricerche Fiat SCPA
  • Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek TNO
  • Lunds Universitet
  • Volvo Personvagnar AB
  • Chalmers Tekniska Hoegskola AB
  • Volvo technology AB
  • University of Leeds United Kingdom
  • Fka Forschungsgesellschaft Kraftfahrwesen mbh aachen
  • Volvo Lastvagnar AB

Budget / Funding

Total cost: € 24 189 413 / EU contribution: € 14 300 000

Funded under the call FP7-ICT-2013-10

Topic: ICT-2013.6.5 - Co-operative Mobility


Human Factors, Human-Vehicle Integration, Legal