Abstract
In this article the Autovision architecture is presented, a new Multi Processor System-on-Chip (MPSoC) architecture for future video-based driver assistance systems, using run-time reconfigurable hardware accelerator engines for video processing. According to various driving conditions (highway, city, sunlight, rain, 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, triggered by changing driving conditions. It was investigated how to use dynamic partial reconfiguration to load and operate the correct hardware accelerator engines in time, while removing unused engines in order to save precious chip area.
| Translated title of the contribution | Autovision - A Run-time Reconfigurable MPSoC Architecture for Future Driver Assistance Systems |
|---|---|
| Original language | English |
| Pages (from-to) | 181-187 |
| Number of pages | 7 |
| Journal | IT - Information Technology |
| Volume | 49 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1 May 2007 |
| Externally published | Yes |
Keywords
- driver assistance systems
- dynamic partial reconfiguration
- real-time video processing