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Journal of Sensors
Volume 2017, Article ID 7342931, 14 pages
https://doi.org/10.1155/2017/7342931
Research Article

Method for SLAM Based on Omnidirectional Vision: A Delayed-EKF Approach

Department of Computer Science, CUCEI, University of Guadalajara, Guadalajara, Mexico

Correspondence should be addressed to Rodrigo Munguía; ude.cpu@aiugnum.ogirdor

Received 4 October 2016; Accepted 4 January 2017; Published 19 February 2017

Academic Editor: Luis Payá

Copyright © 2017 Rodrigo Munguía 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. C. Löpez-Franco and E. Bayro-Corrochano, “Omnidirectional vision and invariant theory for robot navigation using conformal geometric algebra,” in Proceedings of the 18th International Conference on Pattern Recognition (ICPR '06), pp. 570–573, IEEE, Hong Kong, August 2006. View at Publisher · View at Google Scholar · View at Scopus
  2. C. López-Franco and E. Bayro-Corrochano, “Omnidirectional vision for visual landmark identification using p 2-invariants,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '06), pp. 545–550, May 2006. View at Publisher · View at Google Scholar · View at Scopus
  3. R. Munguía, B. Castillo-Toledo, and A. Grau, “A robust approach for a filter-based monocular simultaneous localization and mapping (SLAM) system,” Sensors, vol. 13, no. 7, pp. 8501–8522, 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. A. J. Davison, I. D. Reid, N. D. Molton, and O. Stasse, “MonoSLAM: real-time single camera SLAM,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, pp. 1052–1067, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. J. M. M. Montiel, J. Civera, and A. J. Davison, “Unified inverse depth parametrization for monocular SLAM,” in Proceedings of the 2nd International Conference on Robotics Science and Systems (RSS '06), pp. 81–88, August 2006. View at Scopus
  6. H. Strasdat, J. M. M. Montiel, and A. J. Davison, “Scale drift-aware large scale monocular SLAM,” in Proceedings of the International Conference on Robotics Science and Systems (RSS '10), pp. 73–80, Zaragoza, Spain, June 2010. View at Scopus
  7. G. Klein and D. Murray, “Parallel tracking and mapping for small AR workspaces,” in Proceedings of the 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR '07), pp. 225–234, IEEE, Nara, Japan, November 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. 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, IEEE, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. R. A. Hicks and R. K. Perline, “Geometric distributions for catadioptric sensor design,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '01), pp. I584–I589, December 2001. View at Scopus
  10. C. López-Franco and E. Bayro-Corrochano, “Unified model for omnidirectional vision using the conformal geometric algebra framework,” in Proceedings of the 17th International Conference on Pattern Recognition (ICPR '04), vol. 4, pp. 48–51, Cambridge, UK, August 2004. View at Scopus
  11. L. Puig and J. J. Guerrero, “Self-location from monocular uncalibrated vision using reference omniviews,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '09), pp. 5216–5221, St. Louis, Mo, USA, October 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. H. Tamimi, H. Andreasson, A. Treptow, T. Duckett, and A. Zell, “Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT,” Robotics and Autonomous Systems, vol. 54, no. 9, pp. 758–765, 2006, Selected papers from the 2nd European Conference on Mobile Robots (ECMR 05)2nd European Conference on Mobile Robots. View at Publisher · View at Google Scholar
  13. I. F. Mondragón, P. Campoy, C. Martinez, and M. Olivares, “Omnidirectional vision applied to Unmanned Aerial Vehicles (UAVs) attitude and heading estimation,” Robotics and Autonomous Systems, vol. 58, no. 6, pp. 809–819, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. C. Valgren, A. Lilienthal, and T. Duckett, “Incremental topological mapping using omnidirectional vision,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '06), pp. 3441–3447, Beijing, China, October 2006. View at Publisher · View at Google Scholar · View at Scopus
  15. J.-H. Kim and M. J. Chung, “SLAM with omni-directional stereo vision sensor,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 442–447, Las Vegas, Nev, USA, October 2003. View at Scopus
  16. J.-P. Tardif, Y. Pavlidis, and K. Daniilidis, “Monocular visual odometry in urban environments using an omnidirectional camera,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '08), pp. 2531–2538, Nice, France, September 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Rituerto, L. Puig, and J. J. Guerrero, “Visual SLAM with an omnidirectional camera,” in Proceedings of the 20th International Conference on Pattern Recognition (ICPR '10), pp. 348–351, IEEE, Istanbul, Turkey, August 2010. View at Publisher · View at Google Scholar · View at Scopus
  18. D. Gutierrez, A. Rituerto, J. M. M. Montiel, and J. J. Guerrero, “Adapting a real-time monocular visual SLAM from conventional to omnidirectional cameras,” in Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCV Workshops '11), pp. 343–350, November 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. K. Wang, G. Xia, Q. Zhu, Y. Yu, Y. Wu, and Y. Wang, “The SLAM algorithm of mobile robot with omnidirectional vision based on EKF,” in Proceedings of the IEEE International Conference on Information and Automation (ICIA '12), pp. 13–18, Beijing, China, June 2012. View at Publisher · View at Google Scholar · View at Scopus
  20. C. Gamallo, M. Mucientes, and C. V. Regueiro, “A FastSLAM-based algorithm for omnidirectional cameras,” Journal of Physical Agents, vol. 7, no. 1, pp. 12–21, 2013. View at Google Scholar · View at Scopus
  21. T. Phan and A. Ovchinnikov, “Bearing-only simultaneous localization and mapping using omnidirectional camera,” in Some Current Advanced Researches on Information and Computer Science in Vietnam, Q. A. Dang, X. H. Nguyen, H. B. Le, V. H. Nguyen, and V. N. Q. Bao, Eds., vol. 341 of Advances in Intelligent Systems and Computing, pp. 107–121, Springer International Publishing, New York, NY, USA, 2015. View at Google Scholar
  22. R. Munguía 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 · View at Scopus
  23. J. Civera, A. J. Davison, and J. M. M. Montiel, “Inverse depth to depth conversion for monocular SLAM,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '07), pp. 2778–2783, Roma, Italy, April 2007. View at Publisher · View at Google Scholar · View at Scopus
  24. C. Mei and P. Rives, “Single view point omnidirectional camera calibration from planar grids,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '07), pp. 3945–3950, IEEE, Roma, Italy, April 2007. View at Publisher · View at Google Scholar · View at Scopus
  25. J. Shi and C. Tomasi, “Good features to track,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 593–600, Seattle, Wash, USA, June 1994. View at Scopus
  26. T. Baile, Mobile robot localisation and mapping in extensive outdoor environments [Ph.D. thesis], University of Sydney, Australian Centre for Field Robotics, Sydney, Australia, 2002.
  27. E. Guerra, R. Munguia, Y. Bolea, and A. Grau, “Validation of data association for monocular SLAM,” Mathematical Problems in Engineering, vol. 2013, Article ID 671376, 11 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  28. 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, St. Louis, Mo, USA, October 2009. View at Publisher · View at Google Scholar · View at Scopus
  29. A. J. Davison, “Real-time simultaneous localisation and mapping with a single camera,” in Proceedings of the Ninth IEEE International Conference on Computer Vision (ICCV '03), pp. 1403–1410, Washington, DC, USA, October 2003. View at Scopus
  30. G. Fontana, M. Matteucci, and D. G. Sorrenti, “Rawseeds: building a benchmarking toolkit for autonomous robotics,” SpringerBriefs in Applied Sciences and Technology, vol. 7, pp. 55–68, 2014. View at Publisher · View at Google Scholar · View at Scopus