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.