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Sensor Fusion

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  • First Online:
Computer Vision

  • 456 Accesses

Synonyms

Multisensor data fusion

Related Concepts

â–¸ Data Fusion

Definition

Sensor fusion refers to systems, techniques, theory, and tools that exploit the synergy in the information acquired from multiple sensors to enhance system performance.

Background

Conventional systems used single sensors for monitoring phenomenon of interest and make inferences regarding them. Due to significant advances in sensing, networking, and computing technologies, multiple sensors are increasingly being used. This provides improved system performance, resulting in a better understanding of the phenomenon being monitored. In addition, distributed sensing improves robustness, extends spatial and temporal coverage while requiring shorter response time [1–3]. In order to optimally fuse information acquired from different distributed sensing architectures, advances in theory and algorithm design are required.

Theory

Data from multiple sensors can be combined at three possible levels. In data level fusion, raw...

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References

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA

    Pramod K. Varshney

Authors
  1. Pramod K. Varshney
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Editor information

Editors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Katsushi Ikeuchi

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© 2014 Springer Science+Business Media New York

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Cite this entry

Varshney, P.K. (2014). Sensor Fusion. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_301

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