A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Design and management of image processing pipelines within CPS: Acquired experience towards the end of the FitOptiVis ECSEL Project
Tekijät: Sau Carlo, Rinaldi Claudia, Pomante Luigi, Palumbo Francesca, Valente Giacomo, Fanni Tiziana, Martinez Marcos, van der Linden Frank, Basten Twan, Geilen Marc, Peeren Geran, Kadlec Jiří, Jääskeläinen Pekka, Bulej Lubomír, Barranco Francisco, Saarinen Jukka, Säntti Tero, Zedda Maria Katiuscia, Sanchez Victor, Nikkhah Shayan Tabatabaei, Goswami Dip, Amat Guillermo, Maršík Lukáš, van Helvoort Mark, Medina Luis, Al-Ars Zaid, de Beer Ad
Kustantaja: Elsevier B.V.
Julkaisuvuosi: 2021
Journal: Microprocessors and Microsystems
Tietokannassa oleva lehden nimi: Microprocessors and Microsystems
Artikkelin numero: 104350
Vuosikerta: 87
eISSN: 1872-9436
DOI: https://doi.org/10.1016/j.micpro.2021.104350
Cyber-Physical Systems (CPSs) are dynamic and reactive systems interacting with processes, environment and, sometimes, humans. They are often distributed with sensors and actuators, characterized for being smart, adaptive, predictive and react in real-time. Indeed, image- and video-processing pipelines are a prime source for environmental information for systems allowing them to take better decisions according to what they see. Therefore, in FitOptiVis, we are developing novel methods and tools to integrate complex image- and video-processing pipelines. FitOptiVis aims to deliver a reference architecture for describing and optimizing quality and resource management for imaging and video pipelines in CPSs both at design- and run-time. The architecture is concretized in low-power, high-performance, smart components, and in methods and tools for combined design-time and run-time multi-objective optimization and adaptation within system and environment constraints.