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Multisensor Fusion and Integration: A Review on Approaches and Its
Applications in Mechatronics
Abstract
The objective of this paper is to review the theories and approaches of
multisensor fusion and integration (MFI) with its application in mechatronics. MFI
helps the system perceiving changes of the environment and monitoring the system
itself. Since each individual sensor has its own inherent defects and limitations,
MFI merges the redundant information acquired by multiple sensors synergistically
to provide a more accurate perception and make an optimal decision in further. The
wide application spectrum of MFI in mechatronics includes the industrial
automation, the development of intelligent robots, military applications,
biomedical applications, etc. In this paper, the architecture and algorithms of MFI
are reviewed, and some implementation examples in industrial automation and
robotic applications are presented. Furthermore, sensor fusion methods at different
levels, namely, estimation methods, classification methods and inference methods,
the most frequently used algorithms in previous researches with their advantages
and limitations are summarized. Applications of MFI in robotics and mechatronics
are discussed. Future perspectives of MFI deployment are included in the
concluding remarks.
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