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Improved Different Dimensional Sensors Combined Space Registration Algorithm
Joint Authors
Chen, Zhimin
Yin, Mingfeng
Wang, Tianxiong
Bo, Yuming
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
To address the problem of deviation and registration of 3D radar and infrared sensor, this paper presents and improves a method based on the state value and space deviation of federated filtering of unscented Kalman filter and standard Kalman filter, which conduces to real time registering of system deviation of radar and IF sensors.
In the method presented here, a covariance matching criteria-based approach was employed for judgment of filtering divergent trend, while self-adaptive attenuation factor was introduced for correction of the predicted error covariance so as to inhibit the divergent phenomenon.
The experiment results indicated that the method presented here conduces to improvement of the precision and speed of space registration, showing practical value in deviation registration of 3D radars and infrared sensors.
American Psychological Association (APA)
Bo, Yuming& Chen, Zhimin& Yin, Mingfeng& Wang, Tianxiong. 2015. Improved Different Dimensional Sensors Combined Space Registration Algorithm. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073426
Modern Language Association (MLA)
Bo, Yuming…[et al.]. Improved Different Dimensional Sensors Combined Space Registration Algorithm. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073426
American Medical Association (AMA)
Bo, Yuming& Chen, Zhimin& Yin, Mingfeng& Wang, Tianxiong. Improved Different Dimensional Sensors Combined Space Registration Algorithm. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073426
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073426