Mean shift registration algorithm for dissimilar sensors |
| |
Authors: | Yong-qing Qi Zhong-liang Jing Shi-qiang Hu Hai-tao Zhao |
| |
Institution: | (1) School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, 200240, China;(2) Institute of Aerospace Science and Technology, Shanghai Jiaotong University, Shanghai, 200240, China |
| |
Abstract: | 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. |
| |
Keywords: | sensor registration mean shift bias estimation maximum likelihood |
本文献已被 维普 万方数据 SpringerLink 等数据库收录! |
|