Multi-Platform Performance Evaluation of Pedestrian Detection at the Electronic System Level

Konferenz: AmE 2013 - 4. GMM-Fachtagung
19.02.2013 - 20.02.2013 in Dortmund, Deutschland

Tagungsband: AmE 2013

Seiten: 6Sprache: EnglischTyp: PDF

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Kiesel, Rainer; Freisler, Stefan; Löhlein, Otto (Group Research Daimler AG, Ulm, Germany)
Haubelt, Christian (University Rostock, Rostock, Germany)
Streubühr, Martin; Teich, Jürgen (University Erlangen-Nuremberg, Erlangen, Germany)

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 de-sign, 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%.