Multi-Platform Performance Evaluation of Pedestrian Detection at the Electronic System Level
Multi-Platform Performance Evaluation of Pedestrian Detection at the Electronic System Level
- New search for: Kiesel, Rainer
- New search for: Freisler, Stefan
- New search for: Löhlein, Otto
- New search for: Haubelt, Christian
- New search for: Streubühr, Martin
- New search for: Teich, Jürgen
- New search for: Kiesel, Rainer
- New search for: Freisler, Stefan
- New search for: Löhlein, Otto
- New search for: Haubelt, Christian
- New search for: Streubühr, Martin
- New search for: Teich, Jürgen
The growing complexity of hardware platforms for driver assistance systems makes a cost-efficient selection and algorithm implementation challenging. Here, Electronic System Level tools, which combine model-based design, system synthesis, and performance evaluation, seem to be a remedy. In this paper, we systematically assess the accuracy of system level performance evaluation through a quantitative comparison of estimated and meas-ured performance numbers. As a case study, we use a pedestrian detection application. The application is mapped onto three different reference platforms, an FPGA, an ASIP, and a multi-core processor. The average error of the system-level performance estimation was typically between 3% and 16% at a standard deviation of below 11%.
Document information
Multi-Platform Performance Evaluation of Pedestrian Detection at the Electronic System Level
2013
6 Seiten, 5 Bilder, 6 Tabellen, 14 Quellen
Conference paper
English
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