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PRYSTINE - Technical Progress After Year 1

AuthorsDruml, Norbert; Veledar, Omar; Macher, Georg; Stettinger, Georg; Selim, Solmaz; Reckenzaun, Jakob; Díaz, Sergio E.; Marcano, Mauricio; Villagra, Jorge; Beekelaar, Rutger; Jany-Luig, Johannes; Corredoira, Marta María; Burgio, Paolo; Ballato, Christian; Debaillie, Björn; Meurs, Lars van; Terechko, Andrei; Tango, Fabio; Ryabokon, Anna; Anghel, Andrei; Icoglu, Oguz; Kumar, Sumeet S.; Dimitrakopoulos, George
KeywordsSupply chains
Computer architecture
Computer architecture
Autonomous driving
Issue DateAug-2019
PublisherInstitute of Electrical and Electronics Engineers
CitationIEEE Micro - Institute of Electrical and Electronics Engineers: 389-398 (2019)
AbstractAmong the actual trends that will affect society in the coming years, autonomous driving stands out as having 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 also due to missing reliable environment perception and sensor fusion. PRYSTINE will realize Fail-operational Urban Surround perceptION (FUSION) which is based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. In this paper, we detail the vision of the PRYSTINE project and we showcase the results achieved during the first year.
Publisher version (URL)https://dx.doi.org/10.1109/DSD.2019.00063
Appears in Collections:(CAR) Artículos
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