Application of the Data Fusion Method Based on Fuzzy Theory and Evidence Theory in Vehicle Recognition

Yu Xin Liu; Xu Jia

doi:10.4028/www.scientific.net/AMR.546-547.661

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 546-547Application of the Data Fusion Method Based on...

Application of the Data Fusion Method Based on Fuzzy Theory and Evidence Theory in Vehicle Recognition

Abstract:

A data fusion method which based on fuzzy theory and evidence theory was discussed in this paper， and it is applied to the vehicle type recognition simulation research using some multi-sensor characteristics such as the appearance and the length of the vehicle. The experimental results show that this method can avoid the limitation of single sensor, reduce the sensors uncertainty, and improve the identification accuracy.

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Periodical:

Advanced Materials Research (Volumes 546-547)

Pages:

661-665

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.546-547.661

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Online since:

July 2012

Authors:

Yu Xin Liu, Xu Jia

Keywords:

Data Fusion, D-S Evidence Theory, Fuzzy Theory, Vehicle Type Recognition

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