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

Autor: Giacomo Valente, Lukáš Maršík, Jukka Saarinen, Ad de Beer, Shayan Tabatabaei Nikkhah, Lubomír Bulej, Pekka Jääskeläinen, Marcos Martinez, Marinus Johannes Adrianus Maria Van Helvoort, Francisco Barranco, Jiří Kadlec, Twan Basten, Victor Sanchez, Luigi Pomante, Guillermo Amat, Maria Katiuscia Zedda, Claudia Rinaldi, Tero Säntti, Francesca Palumbo, Carlo Sau, Luis Alirio Sánchez Medina, Dip Goswami, Marc Geilen, Zaid Al-Ars, Geran Peeren, Frank van der Linden, Tiziana Fanni
Přispěvatelé: Cyber-Physical Systems Center Eindhoven, Electronic Systems, Model-Based Design Lab, CompSOC Lab- Predictable & Composable Embedded Systems, Embedded Control Systems Lab, EAISI High Tech Systems, EAISI Foundational
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Microprocessors and Microsystems, 87:104350. Elsevier
ISSN: 0141-9331
Popis: 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.
Databáze: OpenAIRE