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A Hardware-friendly Support Vector Machine for Embedded Automotive Applications

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4 Author(s)
Davide Anguita ; Member, IEEE, Department of Biophysical and Electronic Engineering (DIBE), University of Genoa, Via Opera Pia lIA, 16145 Genoa, Italy. e-mail Davide.Anguita@unige.it ; Alessandro Ghio ; Stefano Pischiutta ; Sandro Ridella

We present here a hardware-friendly version of the support vector machine (SVM), which is useful to implement its feed-forward phase on limited-resources devices such as field programmable gate arrays (FPGAs) or microcontrollers, where a floating-point unit is seldom available. Our proposal is tested on a machine-vision benchmark dataset for automotive applications.

Published in:

2007 International Joint Conference on Neural Networks

Date of Conference:

12-17 Aug. 2007