RT Conference Proceedings T1 Programmable systems for intelligence in automobiles (PRYSTINE): Final results after Year 3 A1 Druml, Norbert A1 Ryabokon, Anna A1 Schorn, Rupert A1 Koszescha, Jochen A1 Ozols, Kaspars A1 Levinskis, Aleksandrs A1 Novickis, Rihards A1 Nigussie, Ethiopia A1 Isoaho, Jouni A1 Solmaz, Selim A1 Stettinger, Georg A1 Diaz, Sergio A1 Marcano, Mauricio A1 Villagra, Jorge A1 Medina, Juan A1 Schwarz, Martina A1 Artuñedo, Antonio A1 Comi, Mauro A1 Beekelaar, Rutger A1 Özçelik, Onur A1 Taşdelen, Elif Aksu A1 Gürbüz, Yeşim A1 Saijets, Jan A1 Kyynäräinen, Jukka A1 Morits, Dmitry A1 Debaillie, Björn A1 Rykunov, Maxim A1 Escamilla, Joan A1 Vanne, Jarno A1 Korhonen, Tomi A1 Holma, Kalle A1 Matzhold, Eva Maria A1 Novara, Carlo A1 Tango, Fabio A1 Burgio, Paolo A1 Calafiore, Giuseppe A1 Karimshoushtari, Milad A1 Boulay, Emilie A1 Dhaens, Miguel A1 Praet, Kylian A1 Zwijnenberg, Han A1 Palm, Henri A1 Ortega, David Aledo A1 Kalali, Ercan A1 Pensala, Tuomas A1 Kyytinen, Arto A1 Larsen, Morten A1 Veledar, Omar A1 Macher, Georg A1 Lafer, Michael A1 Giraudi, Lorenzo A1 Reckenzaun, Jakob A1 Hammer, Daniel A1 Mohan, Naveen A1 Schmid, Josef A1 Höß, Alfred A1 Ophir, Shai A1 Dubey, Anand A1 Fuchs, Jonas A1 Lübke, Maximilian A1 Anghel, Andrei A1 Ristea, Nicolae Cătălin A1 Törngren, Martin A1 Musralina, Alua A1 Harter, Marlene A1 Jose, Joseena Memadathil A1 Dimitrakopoulos, George A2 Leporati, Francesco A2 Vitabile, Salvatore A2 Skavhaug, Amund AB 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. PB Institute of Electrical and Electronics Engineers Inc. SN 9781665427036 YR 2021 FD 2021 LA eng NO 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 , Artuñedo , A , Comi , M , Beekelaar , R , Özçelik , O , Taşdelen , E A , Gürbüz , Y , Saijets , J , Kyynäräinen , 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 , Höß , A , Ophir , S , Dubey , A , Fuchs , J , Lübke , M , Anghel , A , Ristea , N C , Törngren , M , Musralina , A , Harter , M , Jose , J M & Dimitrakopoulos , G 2021 , Programmable systems for intelligence in automobiles (PRYSTINE) : Final results after Year 3 . in F Leporati , S Vitabile & A Skavhaug (eds) , Proceedings - 2021 24th Euromicro Conference on Digital System Design, DSD 2021 . Proceedings - 2021 24th Euromicro Conference on Digital System Design, DSD 2021 , Institute of Electrical and Electronics Engineers Inc. , pp. 268-277 , 24th Euromicro Conference on Digital System Design, DSD 2021 , Virtual, Online , Italy , 1/09/21 . https://doi.org/10.1109/DSD53832.2021.00049 NO conference NO Publisher Copyright: © 2021 IEEE. NO ACKNOWLEDGMENT The authors would like to thank all national funding authorities and the ECSEL Joint Undertaking, which funded the PRYSTINE project under the grant agreement n° 783190. DS TECNALIA Publications RD 28 jul 2024