A Hardware-friendly Support Vector Machine for Embedded Automotive Applications

@article{Anguita2007AHS,
  title={A Hardware-friendly Support Vector Machine for Embedded Automotive Applications},
  author={Davide Anguita and Alessandro Ghio and Stefano Pischiutta and Sandro Ridella},
  journal={2007 International Joint Conference on Neural Networks},
  year={2007},
  pages={1360-1364}
}
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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