Skip to main content

Sensors Data Fusion via Bayesian Network

  • Chapter
Recent Advances in Mechatronics

Abstract

Presented paper deals with the fusion of information obtained from different kinds of sensors placed on autonomous mobile robot. The method is based on Bayesian network. Implementation details and verification simulation experiment that fuses three different means to determine robot orientation are given in the paper. The method is easily extendable for higher number of sensors of different kind together with higher dimension output data to be fused.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Singhal, A., Brown, C.: Dynamic Bayes Net Approach to Multimodal Sensor Fusion. In: Proceedings of the SPIE - The International Society for Optical Engineering, pp. 2–10 (1997)

    Google Scholar 

  2. Jensen, F.V.: Bayesian networks and Decision Graphs. In: Statistics for Engineering and Information Science. Springer, Heidelberg (2001)

    Google Scholar 

  3. Murphy, K.P.: Dynamic Bayesian Networks: Representation, Inference and Learning, PhD thesis, UC Berkley, Computer Science Division (2002)

    Google Scholar 

  4. Jensen, F.: An Introduction to Bayesian Networks. UCL Press (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Věchet, S., Krejsa, J. (2010). Sensors Data Fusion via Bayesian Network. In: Brezina, T., Jablonski, R. (eds) Recent Advances in Mechatronics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05022-0_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-05022-0_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05021-3

  • Online ISBN: 978-3-642-05022-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics