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.

Design and management of image processing pipelines within CPS: Acquired experience towards the end of the FitOptiVis ECSEL Project / Sau, C; Rinaldi, C; Pomante, L; Palumbo, F; Valente, G; Fanni, T; Martinez, M; van der Linden, F; Basten, T; Geilen, M; Peeren, G; Kadlec, J; Jaaskelainen, P; Bulej, L; Barranco, F; Saarinen, J; Santti, T; Zedda, Mk; Sanchez, V; Nikkhah, St; Goswami, D; Amat, G; Marsik, L; van Helvoort, M; Medina, L; Al-Ars, Z; de Beer, A. - In: MICROPROCESSORS AND MICROSYSTEMS. - ISSN 0141-9331. - 87:(2021), p. 104350. [10.1016/j.micpro.2021.104350]

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

Palumbo, F
Supervision
;
Valente, G;Fanni, T;
2021-01-01

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.
Design and management of image processing pipelines within CPS: Acquired experience towards the end of the FitOptiVis ECSEL Project / Sau, C; Rinaldi, C; Pomante, L; Palumbo, F; Valente, G; Fanni, T; Martinez, M; van der Linden, F; Basten, T; Geilen, M; Peeren, G; Kadlec, J; Jaaskelainen, P; Bulej, L; Barranco, F; Saarinen, J; Santti, T; Zedda, Mk; Sanchez, V; Nikkhah, St; Goswami, D; Amat, G; Marsik, L; van Helvoort, M; Medina, L; Al-Ars, Z; de Beer, A. - In: MICROPROCESSORS AND MICROSYSTEMS. - ISSN 0141-9331. - 87:(2021), p. 104350. [10.1016/j.micpro.2021.104350]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/301087
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