SOURCE-LINKED INTELLIGENCE

Artificial Intelligence for Traffic Safety between Vehicles and Vulnerable Road Users

CORDIS · observation · Publication date unknown

Artificial Intelligence for Traffic Safety between Vehicles and Vulnerable Road Users Traffic safety is the fundamental criterion for vehicular environments and many artificial intelligence-based systems like self-driving cars. There are places, e.g., intersections and shared spaces, in the urban environment with high risks where vehicles and vulnerable road users (VRUs) such as pedestrians and cyclists directly interact with each other. By advancing starte-of-the-art artificial intelligence methodologies, this project VeVuSafety aims to build a privacy-aware deep learning framework to learn road users’ behaviour in various mixed traffic situations for the safety between vehicles and VRUs. VeVuSafety proposes a 3D environment model based on 3D point cloud for privacy protection — private information like license plates and face is anonymized. Then, within this environment model, an end-t

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recordType

award

status

SIGNED

region

EU

value

187624.32

unit

EUR