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VeVuSafety develops an advanced artificial intelligence framework to enhance traffic safety by predicting the behavior of road users, including vulnerable groups like pedestrians and cyclists. Using a privacy-aware 3D model and deep learning techniques, the project aims to improve urban traffic environments through bet…
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 framew…
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