Budget:   euros

Resume:

This project aims to address the main technological challenge of generating pedestrian and cyclist reaction models in the moments immediately prior to the collision using virtual reality techniques, and the implementation of the results for the optimisation of UV identification systems. Finally, the introduction of the UV model and the identification algorithm in accident reconstruction software will significantly increase the accuracy of the results of hit-and-run modelling. The proposed working methodology is shown in the figure below:

Partners:

• Instituto Universitario de Investigación del Automóvil (INSIA – UPM),
• Centro de I+D+i de la UPM en Eficiencia Energética, Realidad Virtual, Ingeniería Óptica y Biometría (CeDInt-UPM)
• GIGS UPM
• CEI-UPM

Results:

• 

  Characterisation of pedestrian behaviour in the instant prior to a pedestrian collision using a virtual reality environment.

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• FISITA 2021 World Congress. Improvement of the AEB activation algorithm based on the pedestrian reaction. A. Losada et all.

Financing: