DocumentCode
1945002
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
fYear
2007
fDate
12-17 Aug. 2007
Firstpage
1360
Lastpage
1364
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location
Orlando, FL
ISSN
1098-7576
Print_ISBN
978-1-4244-1379-9
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2007.4371156
Filename
4371156
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