The FitOptiVis ECSEL Project
Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems
Zaid Al-Ars (TU Delft - Computer Engineering)
Twan Basten (Eindhoven University of Technology)
Ad de Beer (Philips)
Marc Geilen (Eindhoven University of Technology)
Dip Goswami (Eindhoven University of Technology)
Pekka Jaäskelaïnen (Tampere University)
Jiøí Kadlec (Institute of Information Theory and Automation of the Academy of Sciences of the Czech Republic)
Marcos Martinezde Alejandro (Thales Alenia Space Italia)
Francesca Palumbo (Università degli Studi di Sassari)
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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- A nd 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.
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