Service: VI-DAS H2020

Responsible organisation: Vicomtech (Private sector)

VI-DAS advances in computer vision and machine learning will introduce non-invasive, vision-based sensing capabilities to vehicles and enable contextual driver behaviour modelling. The technologies will be based on inexpensive and ubiquitous sensors, primarily cameras. Predictions on outcomes in a scene will be created to determine the best reaction to feed to a personalised HMI component that proposes optimal behaviour for safety, efficiency and comfort. VI-DAS will employ a cloud platform to improve ADAS sensor and algorithm design and to store and analyse data at a large scale, thus enabling the exploitation of vehicle connectivity and cooperative systems. VI-DAS will address human error analysis by the study of real accidents in order to understand patterns and consequences as an input to the technologies. VI-DAS will also address legal, liability and emerging ethical aspects because with such technology comes new risks, and justifiable public concern.

Additional information

Source Open Innovation Regione Lombardia
Web site  https://www.itas.kit.edu/english/projects_coen16_vi-das.php#:~:text=VI%2DDAS%20advances%20in%20computer,and%20ubiquitous%20sensors%2C%20primarily%20cameras.
Start/end date 2016 - 2019.0
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