Use of virtual reality techniques to optimise systems for identifying vulnerable road users by predicting their reactions in the pre-crash phase.

Duration:   2019 – 2021


Budget:   euros


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:


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