[1]叶桦,陈海峰,陈维南.基于遗传寻优的刚体运动参数估计方法[J].东南大学学报(自然科学版),1999,29(3):101-105.[doi:10.3969/j.issn.1001-0505.1999.03.019]
 Ye Hua,Chen Haifen,Chen Weinan.Robust Estimation of Rigid Bodies’ Motion Parameters Based on Genetic Algorithms[J].Journal of Southeast University (Natural Science Edition),1999,29(3):101-105.[doi:10.3969/j.issn.1001-0505.1999.03.019]
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基于遗传寻优的刚体运动参数估计方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
29
期数:
1999年第3期
页码:
101-105
栏目:
计算机科学与工程
出版日期:
1999-05-20

文章信息/Info

Title:
Robust Estimation of Rigid Bodies’ Motion Parameters Based on Genetic Algorithms
作者:
叶桦 陈海峰 陈维南
东南大学自动化研究所,南京 210096
Author(s):
Ye Hua Chen Haifen Chen Weinan
Institute of Automation, Southeast University, Nanjing 210096
关键词:
刚体运动 参数估计 最小截平方和 遗传算法 鲁棒性 出格点
Keywords:
rigid motion parameter estimation least trimmed squares genetic algorithm robust outlier
分类号:
TP391
DOI:
10.3969/j.issn.1001-0505.1999.03.019
摘要:
提出一种基于最小截平方和的参数估计算法,并采用遗传算法寻优,能自动剔除采样点集中的出格点,具有较强的鲁棒性. 实验结果表明:该方法能够有效地克服由于出格点产生的误差,准确地估计出刚体空间运动的参数,并且不需要任何先验知识.
Abstract:
This correspondence proposes a robust estimation method based on least trimmed square principle for motion parameters. This method uses genetic algorithm to discard outliers and search for the best solution. Experiments show that our algorithm can estimate the rigid motion parameters correctly in case where exist outliers. It does not need any prior knowledge.

参考文献/References:

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备注/Memo

备注/Memo:
第一作者:男,1961年生,博士,副教授.
更新日期/Last Update: 1999-05-20