Signal processing for automotive applications

Author

Gioutsos, Tony

Author_Institution

Artistic Anal. Methods Inc., Brighton, MI, USA

Volume

5

fYear

1995

fDate

9-12 May 1995

Firstpage

2975

Abstract

The complexity of automobiles has increased sharply. Consumer demands for better performance at a low cost have caused a boom in electrical components. Many of these components require the use of signal processing techniques to provide the desired response. The authors discuss signal processing for use in “smart” sensor design for automotive applications. The paper begins with a general overview of the automotive signal processing environment. It then describes a general framework for algorithm design and performance measurement. Finally, two examples of automotive algorithm design are presented: vehicle crash detection for airbag deployment and engine cylinder misfire detection to reduce environmental emissions

Keywords

automobiles; internal combustion engines; iterative methods; signal processing; airbag deployment; algorithm design; automotive applications; engine cylinder misfire detection; environmental emissions; performance measurement; signal processing technique; smart sensor design; vehicle crash detection; Algorithm design and analysis; Automobiles; Automotive applications; Automotive engineering; Costs; Measurement; Signal design; Signal processing; Signal processing algorithms; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479470

Filename

479470