PRYSTINE - Programmable Systems for Intelligence in Automobiles

Project: Research project

Project Details


PRYSTINE will realize Fail-operational Urban Surround Perception (FUSION) which is based on robust Radar and LiDAR sensor fusion and control functions, to enable safe automated driving in urban and rural environments. It will strengthen and extend traditional core competencies of the European industry, research and universities in smart mobility and in particular the electronic components and cyber-physical systems domains. Technically, project targets are to develop and validate new, fail operational HW/SW platforms, high performance and dependable perception (sensor fusion on different levels) and AI-based decision-making algorithms – the functional safety methodologies are applied from the chip to the system level.
Effective start/end date1/05/1830/04/21


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  • Erfinder der TU Graz

    Stelzer, Philipp (Recipient), Strasser, Andreas (Recipient) & Steger, Christian (Recipient), 11 Nov 2019

    Prize: Prizes / Medals / Awards