A Hardware-friendly Support Vector Machine for Embedded Automotive Applications

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.

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