Published July 11, 2023 | Version v1
Journal article Open

A DL-based estimation probability approach for VRU collision avoidance

  • 2. UOC


Assisted/autonomous driving is nowadays a vivid sector for both research and industry, thanks to the advances made using artificial intelligence and the pervasive and fast communication achieved by the Fifth generation (5G) of cellular networks. A fully connected environment where traveling on public roads is done with limited (or without) human intervention may increase road safety.

In this work, we present a system to detect possible collisions among vehicles and between pedestrians and vehicles with the final aim of reduce traffic accidents. Our proposal is based on a trajectory prediction algorithm plus a method to estimate the collision probability. Deep learning and Monte Carlo algorithms are used, respectively. The promising results open future research extensions.


A DL-based estimation probability approach for VRU collision avoidance.pdf

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5GMED – Sustainable 5G deployment model for future mobility in the Mediterranean Cross-Border Corridor 951947
European Commission