Real-time SLAM with piecewise-planar surface models and sparse 3D point clouds

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2013, Pages 1042-1049

  Ozog, Paul ^a   Eustice, Ryan M ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DOPPLER VELOCITY LOGS; IMPROVING PERFORMANCE; MONOCULAR CAMERAS; SELF-CONSISTENCY; SHIP-HULL INSPECTIONS; SIMULTANEOUS LOCALIZATION AND MAPPING; SPARSE POINT CLOUD; UNDERWATER NAVIGATION;

AUTONOMOUS UNDERWATER VEHICLES; HULLS (SHIP); INTELLIGENT ROBOTS; MATHEMATICAL TECHNIQUES; THREE DIMENSIONAL;

ROBOTICS;

EID: 84893767811     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2013.6696479     Document Type: Conference Paper

References (24)

1. R. Smith, M. Self, and P. Cheeseman, "Estimating uncertain spatial relationships in robotics," in Autonomous Robot Vehicles, I. Cox and G. Wilfong, Eds. Springer-Verlag, 1990, pp. 167-193.
2. S. Thrun, M. Montemerlo, D. Koller, B. Wegbreit, J. Nieto, and E. Nebot, "FastSLAM: An efficient solution to the simultaneous localization and mapping problem with unknown data association," J. Machine Learning Res., vol. 4, no. 3, pp. 380-407, 2004.
3. F. Dellaert and M. Kaess, "Square root SAM: Simultaneous localization and mapping via square root information smoothing," Int. J. Robot. Res., vol. 25, no. 12, pp. 1181-1203, 2006.
4. M. Kaess, A. Ranganathan, and F. Dellaert, "iSAM: Incremental smoothing and mapping," IEEE Trans. Robot., vol. 24, no. 6, pp. 1365-1378, Dec. 2008.
5. G. Grisetti, D. Lodi Rizzini, C. Stachniss, E. Olson, and W. Burgard, "Online constraint network optimization for efficient maximum likelihood map learning," in Proc. IEEE Int. Conf. Robot. and Automation, Pasadena, CA, May 2008, pp. 1880-1885.
6. Z. Zhang, "Iterative point matching for registration of free-form curves and surfaces," Int. J. Comput. Vis., vol. 13, no. 2, pp. 119-152, Oct. 1994.
7. E. Olson, "Real-time correlative scan matching," in Proc. IEEE Int. Conf. Robot. and Automation, Kobe, Japan, June 2009, pp. 4387-4393.
8. R. M. Eustice, H. Singh, and J. Leonard, "Exactly sparse delayed-state filters," in Proc. IEEE Int. Conf. Robot. and Automation, Barcelona, Spain, Apr. 2005, pp. 2417-2424.
9. R. M. Eustice, H. Singh, J. J. Leonard, and M. R. Walter, "Visually mapping the RMS Titanic: Conservative covariance estimates for SLAM information filters," Int. J. Robot. Res., vol. 25, no. 12, pp. 1223-1242, 2006.
10. I. Mahon, S. B. Williams, O. Pizarro, and M. Johnson-Roberson, "Efficient view-based SLAM using visual loop closures," IEEE Trans. Robot., vol. 24, no. 5, pp. 1002-1014, Oct. 2008.
11. P. Ridao, M. Carreras, D. Ribas, and R. Garcia, "Visual inspection of hydroelectric dams using an autonomous underwater vehicle," J. Field Robot., vol. 27, no. 6, pp. 759-778, Nov. 2010.
12. F. S. Hover, R. M. Eustice, A. Kim, B. Englot, H. Johannsson, M. Kaess, and J. J. Leonard, "Advanced perception, navigation and planning for autonomous in-water ship hull inspection," Int. J. Robot. Res., vol. 31, no. 12, pp. 1445-1464, October 2012.
13. A. Kim and R. M. Eustice, "Real-time visual SLAM for autonomous underwater hull inspection using visual saliency," IEEE Trans. Robot., vol. 29, no. 3, pp. 719-733, June 2013.
14. C. Kunz and H. Singh, "Map building fusing acoustic and visual information using autonomous underwater vehicles," J. Field Robot., 2013, In Print.
15. Teledyne RD Instruments. (2006) RD Instruments Workhorse Navigator DVL. Specification sheet and documentations Available at www.rdinstruments.com.
16. Velodyne, Inc. (2007, October) Velodyne HDL-64E: A high definition LIDAR sensor for 3D applications. Specification sheet and documentations Available at www.velodyne.com.
17. S. Barkby, S. B. Williams, O. Pizarro, and M. V. Jakuba, "Bathymetric SLAM with no map overlap using gaussian processes," in Proc. IEEE/RSJ Int. Conf. Intell. Robots and Syst., 2011, pp. 1242-1248.
18. J. Weingarten and R. Siegwart, "3D SLAM using planar segments," in Proc. IEEE/RSJ Int. Conf. Intell. Robots and Syst., 2006, pp. 3062-3067.
19. A. J. B. Trevor, J. G. Rogers, and H. I. Christensen, "Planar surface SLAM with 3D and 2D sensors," in Proc. IEEE Int. Conf. Robot. and Automation, 2012, pp. 3041-3048.
20. T. Pietzsch, "Planar features for visual SLAM," Advances in Artificial Intelligence, pp. 119-126, 2008.
21. M. Ruhnke, R. Kummerle, G. Grisetti, and W. Burgard, "Highly accurate 3D surface models by sparse surface adjustment," in Proc. IEEE Int. Conf. Robot. and Automation, 2012, pp. 751-757.
22. B. Kim, M. Kaess, L. Fletcher, J. J. Leonard, A. Bachrach, N. Roy, and S. Teller, "Multiple relative pose graphs for robust cooperative mapping," in Proc. IEEE Int. Conf. Robot. and Automation, Anchorage, Alaska, May 2010, pp. 3185-3192.
23. N. J. Mitra, A. Nguyen, and L. Guibas, "Estimating surface normals in noisy point cloud data," Int. J. of Comput. Geom. and Applicat., vol. 14, pp. 261-276, 2004.
24. H. Carrillo, I. Reid, and J. A. Castellanos, "On the comparison of uncertainty criteria for active SLAM," in Proc. IEEE Int. Conf. Robot. and Automation, 2012, pp. 2080-2087.