Mean Shift Registration Algorithm for Dissimilar Sensors

The mean shift registration （MSR） algorithm is proposed to accurately estimate the biases for multiple dissimilar sensors. The new algorithm is a batch optimization procedure. The maximum likelihood estimator is used to estimate the target states, and then the mean shift algorithm is implemented to...

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Bibliographic Details
Published in:Shanghai jiao tong da xue xue bao 2009-04, Vol.14 (2), p.179-183
Main Author: 祁永庆 敬忠良 胡士强 赵海涛
Format: Article
Language:English
Subjects:
Architecture
Computer Science
Electrical Engineering
Engineering
Life Sciences
Materials Science
优化程序
传感器
最大似然估计
最大似然比
科学研究
配准算法
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Summary:The mean shift registration （MSR） algorithm is proposed to accurately estimate the biases for multiple dissimilar sensors. The new algorithm is a batch optimization procedure. The maximum likelihood estimator is used to estimate the target states, and then the mean shift algorithm is implemented to estimate the sensor biases. Monte Carlo simulations show that the MSR algorithm has significant improvement in performance with reducing the standard deviation and mean of sensor biased estimation error compared with the maximum likelihood registration algorithm. The quantitative analysis and the qualitative analysis show that the MSR algorithm has less computation than the maximum likelihood registration method.
ISSN:1007-1172
1995-8188
DOI:10.1007/s12204-009-0179-z