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.

• Type: Conference
• Year: 2007
• Where: IJCNN
• Authors: Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella
• Keywords: IJCNN 2007, Machine–vision Benchmark Dataset, Programmable Gate Arrays, Support Vector Machine