Skip to main content
SpringerLink
Log in

Real Experiments

  • Chapter
  • First Online:
Parallel and Distributed Map Merging and Localization

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

  • 535 Accesses

Abstract

We show some experiments of the methods studied in this book with real data under different communication schemes. We have carried out experiments using a data set from Frese and Kurlbaum, a data set for data association, 2008, [1] with bearing-only information extracted from conventional images. Additionally, we have analyzed the performance of the data association method and the localization and map merging algorithms under real data acquired with an RGB-D sensor, which provides both visual and depth information.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. U. Frese, J. Kurlbaum, A data set for data association. Electronically, (2008) http://www.sfbtr8.spatial-cognition.de/insidedataassociation/

  2. D.G. Lowe, Object recognition from local scale-invariant features. IEEE Int. Conf. Comput. Vis. 709, 1150–1157 (1999)

    Google Scholar 

  3. J.M.M. Montiel, J. Civera, J. Davison, Unified inverse depth parametrization for monocular SLAM, in Robotics: Science and Systems, Philadelphia, USA, August 2006

    Google Scholar 

  4. E. Montijano, R. Aragues, C. Sagues, Distributed data association in robotic networks with cameras and limited communications. IEEE Trans. Robot. 29(6), 1408–1423 (2013)

    Article  Google Scholar 

  5. J. Neira, J.D. Tardós, Data association in stochastic mapping using the joint compatibility test. IEEE Trans. Robot. Autom. 17(6), 890–897 (2001)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Instituto de Investigación en Ingeniería de Aragón , University of Zaragoza, Saragossa, Spain

    Rosario Aragues & Carlos Sagues

  2. Institut Pascal, CNRS, Clermont Université, IFMA, Clermont-Ferrand, France

    Youcef Mezouar

Authors
  1. Rosario Aragues
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Carlos Sagues
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Youcef Mezouar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rosario Aragues .

Rights and permissions

Reprints and permissions

Copyright information

© 2015 The Author(s)

About this chapter

Cite this chapter

Aragues, R., Sagues, C., Mezouar, Y. (2015). Real Experiments. In: Parallel and Distributed Map Merging and Localization. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-25886-7_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25886-7_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25884-3

  • Online ISBN: 978-3-319-25886-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation