Skip to main content

RT-SLAM: A Generic and Real-Time Visual SLAM Implementation

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6962))

Abstract

This article presents a new open-source C++ implementation to solve the SLAM problem, which is focused on genericity, versatility and high execution speed. It is based on an original object oriented architecture, that allows the combination of numerous sensors and landmark types, and the integration of various approaches proposed in the literature. The system capacities are illustrated by the presentation of an inertial/vision SLAM approach, for which several improvements over existing methods have been introduced, and that copes with very high dynamic motions. Results with a hand-held camera are presented.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   69.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bailey, T., Nieto, J., Guivant, J., Stevens, M., Nebot, E.: Consistency of the ekf-slam algorithm. In: Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3562–3568 (October 2006)

    Google Scholar 

  2. Civera, J., Davison, A.J., Montiel, J.M.M.: Inverse Depth to Depth Conversion for Monocular SLAM. In: Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp. 2778–2783 (April 2007)

    Google Scholar 

  3. Civera, J., Grasa, O.G., Davison, A.J., Montiel, J.M.M.: 1-point ransac for ekf-based structure from motion. In: Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3498–3504 (October 2009)

    Google Scholar 

  4. Davison, A.J.: Real-time simultaneous localisation and mapping with a single camera. In: Proc. of IEEE International Conference on Computer Vision (ICCV), pp. 1403–1410 (October 2003)

    Google Scholar 

  5. Davison, A.J., Reid, I.D., Molton, N.D., Stasse, O.: Monoslam: Real-time single camera slam. IEEE Trans. Pattern Anal. Mach. Intell. 29, 1052–1067 (2007)

    Article  Google Scholar 

  6. Estrada, C., Neira, J., Tardos, J.D.: Hierarchical slam: Real-time accurate mapping of large environments. IEEE Trans. on Robotics 21(4), 588–596 (2005)

    Article  Google Scholar 

  7. Kwok, N.M., Dissanayake, G.: An efficient multiple hypothesis filter for bearing-only slam. In: Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 1, pp. 736–741 (2004)

    Google Scholar 

  8. Lemaire, T., Lacroix, S., Sola, J.: A practical 3d bearing-only slam algorithm. In: Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2449–2454 (August 2005)

    Google Scholar 

  9. Montiel, J.M.M.: Unified inverse depth parametrization for monocular slam. In: Proc. of Robotics: Science and Systems (RSS), pp. 16–19 (2006)

    Google Scholar 

  10. Sola, J.: Consistency of the monocular ekf-slam algorithm for three different landmark parametrizations. In: Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp. 3513–3518 (May 2010)

    Google Scholar 

  11. Sola, J., Monin, A., Devy, M.: Bicamslam: Two times mono is more than stereo. In: Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp. 4795–4800 (2007)

    Google Scholar 

  12. Sola, J., Monin, A., Devy, M., Lemaire, T.: Undelayed initialization in bearing only slam. In: Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2499–2504 (2005)

    Google Scholar 

  13. Di Stefano, L., Mattoccia, S., Tombari, F.: Zncc-based template matching using bounded partial correlation. Pattern Recognition Letters 26(14), 2129–2134 (2005)

    Article  Google Scholar 

  14. Strasdat, H., Montiel, J.M.M., Davison, A.J.: Real-time monocular slam: Why filter? In: Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp. 2657–2664 (May 2010)

    Google Scholar 

  15. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 511–518 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Roussillon, C. et al. (2011). RT-SLAM: A Generic and Real-Time Visual SLAM Implementation. In: Crowley, J.L., Draper, B.A., Thonnat, M. (eds) Computer Vision Systems. ICVS 2011. Lecture Notes in Computer Science, vol 6962. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23968-7_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23968-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23967-0

  • Online ISBN: 978-3-642-23968-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics