Abstract
Using dynamically reconfigurable systems makes sense especially when a high degree of flexibility is demanded and the application requires inherent parallelism to achieve real time constraints. The AutoVision architecture is a new Multi Processor System-on-Chip (MPSoC) architecture for video-based driver assistance systems, using run-time reconfigurable hardware accelerator engines for video processing. According to various driving conditions (highway, city, sunlight, darkness, tunnel entrance), different algorithms have to be used for video processing. These different algorithms require different hardware accelerator engines, which are loaded into the AutoVision chip at run-time of the system. The aim of this project was to find out how to use fast dynamic partial reconfiguration to load and operate the right hardware accelerator engines in time (without loosing a single video frame), while removing unused engines in order to save precious chip area.
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Claus, C., Stechele, W. (2010). AutoVision—Reconfigurable Hardware Acceleration for Video-Based Driver Assistance. In: Platzner, M., Teich, J., Wehn, N. (eds) Dynamically Reconfigurable Systems. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3485-4_18
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DOI: https://doi.org/10.1007/978-90-481-3485-4_18
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