Title :
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
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;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5972160
