Year: 2019
Type: conference-paper
Abstract: Cyber-Physical Systems (CPS) are systems that are in feedback with their environment, possibly with humans in the loop. They are often distributed with sensors and actuators, smart, adaptive and predictive and react in real-time. Image- and video-processing pipelines are a prime source for environmental information improving the possibilities of active, relevant feedback. In such a context, FitOptiVis aims to provide end-to-end multi-objective optimization for imaging and video pipelines of CPS, with emphasis on energy and performance, leveraging on a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimization within system and environment constraints.
Institutions: Delft University of Technology, Eindhoven University of Technology, Philips (Netherlands), Tampere University, Czech Academy of Sciences, Institute of Information Theory and Automation, Thales Alenia Space (France), University of Sassari, University of L'Aquila, University of Turku, University of Cagliari
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Award: G3956885847
OpenAlex ID: W2944724070