@inproceedings{DrumlRyabokonSchornetal.2021,
  author    = {Norbert Druml and Anna Ryabokon and Rupert Schorn and Jochen Koszescha and Kaspars Ozols and Aleksandrs Levinskis and Rihards Novickis and Ethiopia Nigussie and Jouni Isoaho and Selim Solmaz and Georg Stettinger and Sergio Diaz and Mauricio Marcano and Jorge Villagra and Juan Medina and Martina Schwarz and Antonio Artu{\~n}edo and Mauro Comi and Rutger Beekelaar and Onur {\"O}z{\c{c}}elik and Elif Aksu Taşdelen and Yeşim G{\"u}rb{\"u}z and Jan Saijets and Jukka Kyyn{\"a}r{\"a}inen and Dmitry Morits and Bj{\"o}rn Debaillie and Maxim Rykunov and Joan Escamilla and Jarno Vanne and Tomi Korhonen and Kalle Holma and Eva-Maria Matzhold and Carlo Novara and Fabio Tango and Paolo Burgio and Giuseppe Calafiore and Milad Karimshoushtari and Emilie Boulay and Miguel Dhaens and Kylian Praet and Han Zwijnenberg and Henri Palm and David Aledo Ortega and Ercan Kalali and Tuomas Pensala and Arto Kyytinen and Morten Larsen and Omar Veledar and Georg Macher and Michael Lafer and Lorenzo Giraudi and Jakob Reckenzaun and Daniel Hammer and Naveen Mohan and Josef Schmid and Alfred H{\"o}{\"s} and Shai Ophir and Anand Dubey and Jonas Fuchs and Maximilian L{\"u}bke and Andrei Anghel and Nicolae-Cătălin Ristea and Martin T{\"o}rngren and Alua Musralina and Joseena Memadathil Jose and Marlene Harter and George Dimitrakopoulos},
  title     = {Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3},
  series = {Proceedings 2021 24th Euromicro Conference on Digital System Design},
  publisher = {IEEE},
  isbn      = {978-1-6654-2703-6 (elektronisch)},
  doi       = {10.1109/DSD53832.2021.00049},
  pages     = {268 -- 277},
  year      = {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.},
  language  = {en}
}