Visually navigating the rms titanic with slam information filters

Robotics: Science and Systems

Volumn 1, Issue , 2005, Pages 57-64

  Eustice, Ryan ^a   Singh, Hanumant ^a   Leonard, John ^b   Walter, Matthew ^b   Ballard, Robert ^c  

^a WOODS HOLE OCEANOGRAPHIC INSTITUTION   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF RHODE ISLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84959493210     PISSN: None     EISSN: 2330765X     Source Type: Conference Proceeding    
DOI: 10.15607/rss.2005.i.008     Document Type: Conference Paper

References (22)

1. L. Whitcomb, D. Yoerger, H. Singh, and J. Howland, "Advances in underwater robot vehicles for deep ocean exploration: Navigation, control and survery operations," in Proc. Intl. Symp. Robotics Research, Springer-Verlag, London, 2000.
2. S. Thrun, Y. Liu, D. Koller, A. Ng, Z. Ghahramani, and H. Durrant-Whyte, "Simultaneous localization and mapping with sparse extended information filters," Intl. J. Robotics Research, vol. 23, no. 7-8, pp. 693-716, July-Aug. 2004.
3. U. Frese and G. Hirzinger, "Simultaneous localization and mapping-A discussion," in Proceedings of the IJCAI Workshop Reasoning with Uncertainty in Robotics, Seattle, WA, 2001, pp. 17-26.
4. U. Frese, "Treemap: An O(Log N) algorithm for simultaneous localization and mapping," in Spatial Cognition IV, C. Freksa, Ed. Springer Verlag, 2004.
5. M. Paskin, "Thin junction tree filters for simultaneous localization and mapping," in Intl. Joint Conf. on A.I., San Francisco, CA, 2003, pp. 1157-1164.
6. R. Eustice, H. Singh, and J. Leonard, "Exactly sparse delayed-state filters," in Proc. IEEE Intl. Conf. Robotics & Auto., Barcelona, Spain, 2005, pp. 2428-2435.
7. F. Dellaert, "Square root SAM," in Proc. Robotics Science & Systems, 2005.
8. J. Neira and J. Tardos, "Data association in stochastic mapping using the joint compatibility test," IEEE Trans. Robotics and Automation, vol. 17, no. 6, pp. 890-897, Dec. 2001.
9. Y. Bar-Shalom, X. Rong Li, and T. Kirubarajan, Estimation with Applications to Tracking and Navigation. New York: John Wiley & Sons, Inc., 2001.
10. U. Frese, "A proof for the approximate sparsity of SLAM information matrices," in Proc. IEEE Intl. Conf. Robotics & Auto., Barcelona, Spain, 2005, pp. 331-337.
11. J. Shewchuk, "An introduction to the conjugate gradient method without the agonizing pain," Carnegie Mellon University, Technical Report CMU-CS-94-125, Aug. 1994.
12. K. Konolige, "Large-scale map-making," in Proceedings of the AAAI, San Jose, CA, 2004, pp. 457-463.
13. T. Duckett, S. Marsland, and J. Shapiro, "Learning globally consistent maps by relaxation," in Proc. IEEE Intl. Conf. Robotics & Auto., San Francisco, CA, Apr. 2000, pp. 3841-3846.
14. U. Frese, P. Larsson, and T. Duckett, "A multilevel relaxation algorithm for simultaneous localisation and mapping," IEEE Trans. Robotics, vol. 21, no. 2, pp. 1-12, 2005.
15. M. Dissanayake, P. Newman, S. Clark, H. Durrant-Whyte, and M. Csorba, "A solution to the simultaneous localization and map building (SLAM) problem," IEEE Trans. Robotics and Automation, vol. 17, no. 3, pp. 229-241, June 2001.
16. Y. Liu and S. Thrun, "Results for outdoor-SLAM using sparse extended information filters," in Proc. IEEE Intl. Conf. Robotics & Auto., vol. 1, Sept. 2003, pp. 1227-1233.
17. R. Eustice, O. Pizarro, and H. Singh, "Visually augmented navigation in an unstructured environment using a delayed state history," in Proc. IEEE Intl. Conf. Robotics & Auto., vol. 1, New Orleans, USA, Apr. 2004, pp. 25-32.
18. R. Smith, M. Self, and P. Cheeseman, Estimating Uncertain Spatial Relationships in Robotics, ser. Autonomous Robot Vehicles. Springer-Verlag, 1990.
19. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.
20. C. Harris and M. Stephens, "A combined corner and edge detector," in Proceedings of the 4th Alvey Vision Conference, Manchester, U.K., 1988, pp. 147-151.
21. D. Lowe, "Distinctive image features from scale-invariant keypoints," Intl. J. Computer Vision, vol. 60, no. 2, pp. 91-110, 2004.
22. P. Rousseeuw and A. Leroy, Robust Regression and Outlier Detection. New York: John Wiley and Sons, 1987.