Skip to main content
SpringerLink
Log in

Sensor Fusion

  • Reference work entry
  • First Online:
Computer Vision

  • 417 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...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 649.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 899.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Varshney PK (1997) Scanning the issue. Proc IEEE 85(1): 3–5

    Google Scholar 

  2. Varshney PK (1997) Multisensor data fusion. Electron Commun Eng J 9(12):245–253

    Article  Google Scholar 

  3. Liggins ME, Llinas J, Hall DL (2008) Handbook of multisensor data fusion: theory and practice, 2nd edn. CRC, Boca Raton

    Book  Google Scholar 

  4. Varshney PK (1997) Distributed detection and data fusion. Springer, New York

    Book  Google Scholar 

  5. Chen B, Tong L, Varshney PK (2006) Channel-aware distributed detection in wireless sensor networks. IEEE Signal Process Mag 23(4):16–26

    Article  MATH  Google Scholar 

  6. Chamberland J-F, Veeravalli VV (2007) Wireless sensors in distributed detection applications. IEEE Signal Process Mag 24(3):16–25

    Article  Google Scholar 

  7. Xiao J-J, Ribeiro A, Giannakis GB, Luo Z-Q (2006) Distributed compression estimation using wireless sensor networks. IEEE Signal Process Mag 23(4): 27–41

    Article  Google Scholar 

  8. Ribeiro A, Schizas I, Roumeliotis S, Giannakis G (2010) Kalman filtering in wireless sensor networks. IEEE Control Syst Mag 30(2):66–86

    Article  MathSciNet  Google Scholar 

  9. Bar-Shalom Y, Blair WD (2000) Multitarget-multisensor tracking: applications and advances, vol III. Artech House, Boston

    Google Scholar 

  10. Mallick M, Krishnamurthy V, Vo B-N (2011) Integrated tracking, classification, and sensor management: theory and applications. Wiley/IEEE

    Google Scholar 

  11. Mahler Ronald PS (2007) Statistical multisource-multitarget information fusion. Artech House, Boston

    MATH  Google Scholar 

  12. Bar-Shalom Y, Daum F, J Huang J (2009) The probabilistic data association filter. IEEE Control Syst Mag 29(6): 82–100

    Article  MathSciNet  Google Scholar 

  13. Blum R, Liu Z (2005) Multi-sensor image fusion and its applications. CRC, Boca Raton

    Google Scholar 

  14. Çetin M, Chen L, Fisher III JW, Ihler AT, Moses RL, Wainwright MJ, Willsky AS (2006) Distributed fusion in sensor networks: a graphical models perspective. IEEE Signal Process Mag 23(4):42–55

    Article  Google Scholar 

  15. Olfati-Saber R, Fax JA, Murray RM (2007) Consensus and cooperation in networked multi-agent systems. Proc IEEE 95(1):215–233

    Article  Google Scholar 

  16. Dimakis AG, Kar S, Moura JMF, Rabbat MG, Scaglione A (2010) Gossip algorithms for distributed signal processing. Proc IEEE 98(11):1847–1864

    Article  Google Scholar 

  17. Akyldiz IF, Vuran MC (2010) Wireless sensor networks. Wiley, Chichester/Hoboken

    Book  Google Scholar 

  18. Swami A, Zhao Q, Hong Y-W, Tong L (2007) Wireless sensor networks: signal processing and communications perspectives. Wiley, Chichester/England/Hoboken

    Book  Google Scholar 

  19. Foresti GL, Regazzoni CS, Varshney PK (2003) Multisensor surveillance systems: the fusion perspective. Kluwer, Boston

    Book  Google Scholar 

  20. Bhanu B, Ravishankar CV, Roy-Chowdhury AK, Aghajan H, Terzopoulos D (eds) (2011) Distributed video sensor networks. Springer, London/New York

    Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

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

    Katsushi Ikeuchi

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

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

Download citation

Publish with us

Policies and ethics

Search

Navigation