Autonomous driving is disrupting 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 on 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 exploitable results (e.g., novel Radar sensors, innovative embedded control and E/E architectures, pioneering sensor fusion approaches, AI-controlled vehicle demonstrators) achieved until its final year 3.
Programmable systems for intelligence in automobiles (PRYSTINE): Final results after Year 3 / Druml, N.; Ryabokon, A.; Schorn, R.; Koszescha, J.; Ozols, K.; Levinskis, A.; Novickis, R.; Nigussie, E.; Isoaho, J.; Solmaz, S.; Stettinger, G.; Diaz, S.; Marcano, M.; Villagra, J.; Medina, J.; Schwarz, M.; Artunedo, A.; Comi, M.; Beekelaar, R.; Ozcelik, O.; Tasdelen, E. A.; Gurbuz, Y.; Saijets, J.; Kyynarainen, J.; Morits, D.; Debaillie, B.; Rykunov, M.; Escamilla, J.; Vanne, J.; Korhonen, T.; Holma, K.; Matzhold, E. -M.; Novara, C.; Tango, F.; Burgio, P.; Calafiore, G.; Karimshoushtari, M.; Boulay, E.; Dhaens, M.; Praet, K.; Zwijnenberg, H.; Palm, H.; Ortega, D. A.; Kalali, E.; Pensala, T.; Kyytinen, A.; Larsen, M.; Veledar, O.; Macher, G.; Lafer, M.; Giraudi, L.; Reckenzaun, J.; Hammer, D.; Mohan, N.; Schmid, J.; Hoss, A.; Ophir, S.; Dubey, A.; Fuchs, J.; Lubke, M.; Anghel, A.; Ristea, N. -C.; Torngren, M.; Musralina, A.; Harter, M.; Jose, J. M.; Dimitrakopoulos, G.. - (2021), pp. 268-277. (Intervento presentato al convegno 24th Euromicro Conference on Digital System Design, DSD 2021 tenutosi a ita nel 2021) [10.1109/DSD53832.2021.00049].
Programmable systems for intelligence in automobiles (PRYSTINE): Final results after Year 3
Burgio P.;
2021
Abstract
Autonomous driving is disrupting 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 on 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 exploitable results (e.g., novel Radar sensors, innovative embedded control and E/E architectures, pioneering sensor fusion approaches, AI-controlled vehicle demonstrators) achieved until its final year 3.
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