Design and management of image processing pipelines within CPS
Acquired experience towards the end of the FitOptiVis ECSEL Project
Carlo Sau (Università degli studi di Cagliari)
Claudia Rinaldi (University of L'Aquila)
Luigi Pomante (University of L'Aquila)
Francesca Palumbo (Università degli Studi di Sassari)
Giacomo Valente (University of L'Aquila)
Tiziana Fanni (Università degli Studi di Sassari)
Marcos Martinez (Thales Alenia Space España)
Frank van der Linden (Philips Innovation Services)
Zaid Al-Ars (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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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.