TY  - CHAP
U1  - Konferenzveröffentlichung
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  - Aksu Taşdelen, Elif
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  - Aledo Ortega, David
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  - Memadathil Jose, Joseena
A1  - Harter, Marlene
A1  - Dimitrakopoulos, George
T1  - Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3
T2  - Proceedings 2021 24th Euromicro Conference on Digital System Design
N2  - 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.
KW  - FUSION
KW  - fail-operational
KW  - perception
Y1  - 2021
SN  - 978-1-6654-2703-6 (elektronisch)
SB  - 978-1-6654-2703-6 (elektronisch)
SN  - 978-1-6654-2704-3 (Print on Demand)
SB  - 978-1-6654-2704-3 (Print on Demand)
U6  - https://doi.org/10.1109/DSD53832.2021.00049
DO  - https://doi.org/10.1109/DSD53832.2021.00049
SP  - 268
EP  - 277
PB  - IEEE
ER  -