NDLI: Multisensor Fusion and Integration: Theories, Applications, and its Perspectives

Content Provider	IEEE Xplore Digital Library
Author	Luo, R.C. Chih Chia Chang Chun Chi Lai
Copyright Year	2001
Abstract	The decision-making processes in an autonomous mechatronic system rely on data coming from multiple sensors. An optimal fusion of information from distributed multiple sensors requires robust fusion approaches. The science of multisensor fusion and integration (MFI) is formed to treat the information merging requirements. MFI aims to provide the system a more accurate perception enabling an optimal decision to be made. The wide application spectrum of MFI in mechatronic systems includes industrial automation, the development of intelligent robots, military applications, biomedical applications, and microelectromechanical systems (MEMS)/nanoelectromechanical systems (NEMS). This paper reviews the theories and approaches of MFI with its applications. Furthermore, sensor fusion methods at different levels, namely, estimation methods, classification methods and inference methods, are the most frequently used algorithms. Future perspectives of MFI deployment are included in the concluding remarks.
Sponsorship	IEEE Sensors Council
Starting Page	3122
Ending Page	3138
Page Count	17
File Size	2409561
File Format	PDF
ISSN	1530437X
Volume Number	11
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensor fusion Intelligent sensors Sensor systems Kalman filters Classification Robot sensing systems Mechatronics multisensor fusion and integration (MFI) Classification methods estimation methods inference methods intelligent robotics mechatronics
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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