The scientific challenges in this research projects are focused on the specification, modeling, design, implementation, configuration and evaluation of a "Smart" distributed embedded system. From our perspective this includes (i) the combination of complex and intelligent algorithms with real-time capabilities, (ii) the system-level specification of hard- and software for an embedded system with high flexibility, (iii) the efficient implementation of high-level algorithms, e.g., in MATLAB, onto target platforms for embedded system, (iv) fault tolerance mechanisms to support autonomous operation, and (v) low-power design and dynamic power management. The major challenge we are facing is to address the above issues in the highly distributed setting of a network of many smart cameras, where each of which is a heterogeneous multiprocessor system.
This research project is joint work with the Austrian Research Centers Seibersdorf (ARCS) and the Institute for Computer Graphics and Vision (ICG) at the Graz University of Technology. It is further supported by Texas Instruments.