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Mathematical Problems in Engineering
Volume 2013, Article ID 671376, 11 pages
http://dx.doi.org/10.1155/2013/671376
Research Article

Validation of Data Association for Monocular SLAM

1Automatic Control Department, Technical University of Catalonia UPC, 08034 Barcelona, Spain
2Computer Science Department, CUCEI, University of Guadalajara, 44430 Guadalajara, Mexico

Received 25 November 2012; Revised 27 February 2013; Accepted 15 March 2013

Academic Editor: Quang Phuc Ha

Copyright © 2013 Edmundo Guerra et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. F. Auat, C. De la Cruz, R. Carelli, and T. Bastos, “Navegación autónoma asistida basada en SLAM para una silla de ruedas robotizada en entornos restringidos,” Revista Iberoamericana de Automática e Informática, vol. 8, pp. 81–92, 2011 (Spanish). View at Google Scholar
  2. R. Vázquez-Martín, P. Núñez, A. Bandera, and F. Sandoval, “Curvature-based environment description for robot navigation using laser range sensors,” Sensors, vol. 9, no. 8, pp. 5894–5918, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. C. C. Wang and C. Thorpe, “Simultaneous localization and mapping with detection and tracking of moving objects,” in Proceedings of the IEEE International Conference on Robotics adn Automation, vol. 3, pp. 2918–2924, May 2002. View at Scopus
  4. C. H. Hsiao and C. C. Wang, “Achieving undelayed initialization in monocular SLAM with generalized objects using velocity estimate-based classification,” in Proceedings of the International Conference on Robotics and Automation, pp. 4060–4066, 2011.
  5. W. Benn and S. Lauria, “Robot navigation control based on monocular images: an image processing algorithm for obstacle avoidance decisions,” Mathematical Problems in Engineering, vol. 2012, Article ID 240476, 14 pages, 2012. View at Publisher · View at Google Scholar
  6. H. Jin, P. Favaro, and S. Soatto, “A semi-direct approach to structure from motion,” Visual Computer, vol. 19, no. 6, pp. 377–394, 2003. View at Publisher · View at Google Scholar · View at Scopus
  7. A. W. Fitzgibbon and A. Zisserman, “Automatic camera recovery for closed or open image sequences,” in Proceedings of the European Conference on Computer Vision, June 1998.
  8. J. M. M. Montiel, J. Civera, and A. Davison, “Unified inverse depth parameterization for monocular SLAM,” in Proceedings of the Robotics: Science and Systems Conference, August 2006.
  9. D. Nistér, O. Naroditsky, and J. Bergen, “Visual odometry for ground vehicle applications,” Journal of Field Robotics, vol. 23, no. 1, pp. 3–20, 2006. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  10. B. Williams and I. Reid, “On combining visual SLAM and visual odometry,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '10), pp. 3494–3500, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. S. Strelow and D. Sanjiv, “Online motion estimation from image and inertial measurements,” in Proceedings of the Workshop on Integration of Vision and Inertial Sensors (INERVIS '03), 2003.
  12. N. M. Kwok and G. Dissanayake, “Bearing-only SLAM in indoor environments,” in Proceedings of the Australasian Conference on Robotics and Automation, December 2003.
  13. N. M. Kwok, G. Dissanayake, and Q. P. Ha, “Bearing-only SLAM using a SPRT based gaussian sum filter,” in Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1109–1114, April 2005. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Davison, Y. Gonzalez, and N. Kita, “Real-Time 3D SLAM with wide-angle vision”,” in Proceedings of the IFAC Symposium on Intelligent Autonomous Vehicles, July 2004.
  15. R. Smith, R. Self, and P. Cheeseman, “Estimating uncertain spatial relationships in robotics,” in Autonomous Robot Vehicles, pp. 167–193, 1990. View at Google Scholar
  16. J. Neira and J. D. Tardos, “Data association in stochastic mapping using the joint compatibility test,” IEEE Transaction on Robotics and Automation, vol. 17, no. 6, pp. 890–897, 2001. View at Google Scholar
  17. T. Bailey, Mobile robot localisation and mapping in extensive outdoor environments [Ph.D. dissertation], Australian Centre for Field Robotics, The University of Sydney, 2002.
  18. N. M. Kwok, Q. P. Ha, and G. Fang, “Data association in bearing-only SLAM using a cost function-based approach,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '07), pp. 4108–4113, April 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. M. A. Fischler and R. C. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Communications of the ACM, vol. 24, no. 6, pp. 381–395, 1981. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  20. D. Nistér, “An efficient solution to the five-point relative pose problem,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 6, pp. 756–770, 2004. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Scaramuzza, F. Fraundorfer, and R. Siegwart, “Real-time monocular visual odometry for on-road vehicles with 1-point RANSAC,” in Proceedings of the IEEE International Conference on Robotics and Automation, pp. 4293–4299, May 2009. View at Publisher · View at Google Scholar
  22. J. Civera, O. G. Grasa, A. J. Davison, and J. M. M. Montiel, “1-point RANSAC for EKF-based structure from motion,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '09), pp. 3498–3504, October 2009. View at Publisher · View at Google Scholar · View at Scopus
  23. A. Vedaldi, H. Tin, P. Favaro, and S. Soatto, “KALMANSAC: robust filtering by consensus,” in Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV '05), pp. 633–640, October 2005. View at Publisher · View at Google Scholar · View at Scopus
  24. R. Munguia and A. Grau, “Monocular SLAM for visual odometry: a full approach to the delayed inverse-depth feature initialization method,” Mathematical Problems in Engineering, vol. 2012, Article ID 676385, 26 pages, 2012. View at Publisher · View at Google Scholar
  25. R. Munguia and A. Grau, “Delayed inverse depth monocular SLAM,” in Proceedings of the 17th World Congress, International Federation of Automatic Control (IFAC '08), July 2008. View at Publisher · View at Google Scholar · View at Scopus
  26. H. Strasdat, J. M. M. Montiel, and A. J. Davison, “Real-time monocular SLAM: why filter?” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '10), pp. 2657–2664, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  27. C. Chatterjee and V. P. Roychowdhury, “Algorithms for coplanar camera calibration,” Machine Vision and Applications, vol. 12, no. 2, pp. 84–97, 2000. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  28. A. Chiuso, P. Favaro, H. Jin, and S. Soatto, “MFm: 3-D motion from 2-D motion causally integrated over time,” in Proceedings of the European Conference on Computer Vision, June 2002.
  29. A. Davison and D. Murray, “Mobile robot localisation using active vision,” in Proceedings of the European Conference on Computer Vision, June 1998.
  30. L. Clemente, A. J. Davison, I. D. Reid, J. Neira, and J. D. Tardos, “Mapping large loops with a single hand-held camera,” in Proceedings of the Robotics: Science and Systems, June 2007.
  31. A. David, Matrix Algebra from a Statistician’s Perspective, Springer, New York, NY, USA, 1998.