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Programmable Systems for Intelligence in Automobiles

The ambition of PRYSTINE is to strengthen and broaden traditional core competencies of the European industry, research and universities in smart mobility, and in particular the electronic component and systems and cyber-physical systems domains. 

PRYSTINE aims to realize Fail-operational Urban Surround perceptION (FUSION), which is based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. Therefore, the goals of the project are: enhanced reliability and performance, cost and power reduction of sensor components; Dependable embedded control by co-integration of signal processing and AI approaches; Optimized Electrical/Electronic (E/E) architecture concept for enabling fail-operational automated vehicles; Fail operational recognition systems for urban/rural environments.

PRYSTINE’s well-balanced, value chain oriented consortium, is composed of 60 project partners from 14 different European and non-European countries, including leading automotive OEMs, semiconductor companies, technology partners, and research institutes.



1 Pini, Stefano; D'Eusanio, Andrea; Borghi, Guido; Vezzani, Roberto; Cucchiara, Rita "Baracca: a Multimodal Dataset for Anthropometric Measurements in Automotive" Proceedings of the International Joint Conference on Biometrics (IJCB), Houston, September 28 - October 1, 2020, 2020 | DOI: 10.1109/IJCB48548.2020.9304903 Conference

Project Info




01/05/2018 - 30/04/2021

Project Web Site


Funded by:

Ecsel JU