Application of fuzzy cluster analysis in preventing mistakenly stepping on accelerator pedal

Author

Chen, Hongyan ; Qiu, Ya Nan ; Ma, Huikai ; Luo, Meifu

Author_Institution

Dept. of Autom. & Mech. Eng., Chinese JiLiang Univ., Hangzhou, China

fYear

2011

fDate

27-29 June 2011

Firstpage

242

Lastpage

245

Abstract

In most studies, the common algorithm based on threshold values is used for judging whether accelerator pedal is mistakenly stepped on by parameters of a single moment, which is easily influenced by random disturbances or changes in circumstances. However, there is nondeterminacy and randomicity in the process of mistakenly stepping on the accelerator. In this paper, we describes a method of fuzzy cluster analysis to classify characteristic parameters and then identify wrong manipulation, requiring no threshold values,. The experimental results indicate this approach can reliably identify whether accelerator pedal is stepped on mistakenly and make it more exact.

Keywords

automotive components; brakes; fuzzy set theory; mechanical engineering computing; pattern clustering; statistical analysis; accelerator pedal; fuzzy cluster analysis; mistakenly stepping; nondeterminacy; random disturbances; randomicity; Accidents; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Face recognition; Image recognition; FCM; accelerator pedal; fuzzy recognition; safy;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Service System (CSSS), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9762-1

Type

conf

DOI

10.1109/CSSS.2011.5972160

Filename

5972160