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Vision Inspired Driver Assistance Systems

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Funding Programme or Company Name: 
H2020-MG-2015_TwoStages
Funding Body: 
European Union - Horizon 2020 (Other) (Please describe)
Description: 
Road accidents continue to be a major public safety concern. Human error is the main cause of accidents. Intelligent driver systems that can monitor the driver’s state and behaviour show promise for our collective safety. VI-DAS will progress the design of next-gen 720° connected ADAS (scene analysis, driver status). Advances in sensors, data fusion, machine learning and user feedback provide the capability to better understand driver, vehicle and scene context, facilitating a significant step along the road towards truly semi-autonomous vehicles. On this path there is a need to design vehicle automation that can gracefully hand-over and back to the driver. 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.
Insight Contact: 
Application Domain: 
Research Group: 
Associated Theme for Application Domain: 
The Discovery Economy-Smart Enterprise
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Funding Body Logo: 
Involved Institution: 
Dublin City University (DCU)
Committed Cost Share (in kind): 
€0