Title :
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications
Author :
Anguita, Davide ; Ghio, Alessandro ; Pischiutta, Stefano ; Ridella, Sandro
Author_Institution :
Genoa Univ., Genoa
Abstract :
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.
Keywords :
automotive electronics; embedded systems; floating point arithmetic; support vector machines; embedded automotive application; feed-forward phase; floating-point unit; hardware-friendly support vector machine; limited-resource device; Automotive applications; Embedded system; Feedforward systems; Field programmable gate arrays; Hardware; Kernel; Microcontrollers; Phased arrays; Proposals; Support vector machines;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371156
