VI-DAS – Vision Inspired Driver Assistance Systems

  • Project team:

    Coenen, Christopher (Project leader ITAS); Martina Baumann (Project coordination ITAS); Constanze Scherz; Klaus Wiegerling; Claudia Brändle

  • Funding:

    EU Horizon 2020

  • Start date:


  • End date:


  • Project partners:

    Vicomtech, Spain (Coordinator); Akiani, France; Commissariat à l’énergie atomique et aux énergies alternatives (CEA), France; Dublin City University, Ireland; Honda Research Institute Europe GmbH, Germany; IBM Ireland Limited, Ireland; Institut francais des sciences et technologies des transports, de l'amenagement et des reseaux (Ifsttar), France; INTEL B.V., Germany; Intempora SA, France; TASS International Mobility Centre BV, Netherlands; Technical University of Eindhoven, Netherlands; TomTom International BV, Netherlands; University of Limerick, Ireland; Valeo Schalter und Sensoren GmbH, Germany; XL Insurance Company SE, United Kingdom

  • Research group:

    Life, Innovation, Health, and Technology

Project description

Intelligent driver systems that can monitor the driver’s state and behavior show promise for our collective safety. VI-DAS will progress the design of next-gen 720° connected advanced driver assistance systems. VI-DAS advances in computer vision and machine learning will introduce non-invasive, vision-based sensing capabilities to vehicles and enable contextual driver behavior modelling. The technologies will be based on inexpensive and ubiquitous sensors, primarily cameras. The project will address human error analysis by the study of real accidents in order to understand patterns and consequences as an input to the technologies; and it will also address legal, liability and emerging ethical and societal aspects, including new risks and chances as well as public concerns and hopes. The insurance industry will be key stakeholder group for the project. VI-DAS aims to contribute to reducing accidents, economic growth and continued innovation.

In the project, ITAS will (1) provide expertise in applied ethics, foresight, and technology assessment for several tasks where this expertise is needed (including long-term perspectives), (2) support the raising of awareness for technological and innovation potentials among users and stakeholders (including policy and other decision and opinion makers), and (3) help foster the innovation processes by means of taking into account broader societal needs and demands of specific target groups, based on a value-based design approach and core elements of responsible research and innovation (RRI). It will lead the work on ethical issues and societal aspects, contribute to the work on legal responsibility, on the definition of use-cases and on data legal and security requirements, and support the project’s dissemination and public and stakeholder communication activities, also by means of organizing a workshop on ethical and societal aspects.


Baumann, M.; Frank, D.
Ethical and societal issues of anticipatory machine learning applications
2018. 10th Annual S.NET Meeting (2018), Maastricht, Netherlands, June 25–27, 2018 


Dipl.-Pol. Christopher Coenen
Karlsruhe Institute of Technology (KIT)
Institute for Technology Assessment and Systems Analysis (ITAS)
P.O. Box 3640
76021 Karlsruhe

Tel.: +49 721 608-24559