Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2

• Published in: 2020 23rd Euromicro Conference on Digital System Design (DSD) pp. 360 - 369
• Main Authors: Druml, Norbert, Debaillie, Bjorn, Anghel, Andrei, Ristea, Nicolae-Catalin, Fuchs, Jonas, Dubey, Anand, Reibland, Torsten, Hartstern, Maike, Rack, Viktor, Ryabokon, Anna, Ozols, Kaspars, Novickis, Rihards, Levinskis, Aleksandrs, Veledar, Omar, Macher, Georg, Jany-Luig, Johannes, Solmaz, Selim, Reckenzaun, Jakob, Mohan, Naveen, Ophir, Shai, Stettinger, Georg, Diaz, Sergio, Marcano, Mauricio, Villagra, Jorge, Castellano, Andrea, Beekelaar, Rutger, Tango, Fabio, Vanne, Jarno, Holma, Kalle, Icoglu, Oguz, Dimitrakopoulos, George
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-08-2020
• Subjects: Digital systems; fail-operational; FUSION; perception
• DOI: 10.1109/DSD51259.2020.00065

Autonomous driving has the potential to disruptively change the automotive industry as we know it today. For this, fail-operational behavior is essential in the sense, plan, and act stages of the automation chain in order to handle safety-critical situations by its own, which currently is not reached with state-of-the-art approaches.The European ECSEL research project PRYSTINE realizes Fail-operational Urban Surround perceptION (FUSION) based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. This paper showcases some of the key results (e.g., novel Radar sensors, innovative embedded control and E/E architectures, pioneering sensor fusion approaches, AI controlled vehicle demonstrators) achieved until year 2.