A1 Journal article – refereed

Design and management of image processing pipelines within CPS: Acquired experience towards the end of the FitOptiVis ECSEL Project




List of Authors: 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

Publisher: Elsevier B.V.

Publication year: 2021

Journal: Microprocessors and Microsystems

Journal name in source: Microprocessors and Microsystems

Volume number: 87

eISSN: 1872-9436

DOI: http://dx.doi.org/10.1016/j.micpro.2021.104350


Abstract

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.


Last updated on 2021-29-11 at 08:07