Efficient estimation of accurate maximum likelihood maps in 3D

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2007, Pages 3472-3478

  Grisetti, Giorgio ^a   Grzonka, Slawomir ^a   Stachniss, Cyrill ^a   Pfaff, Patrick ^a   Burgard, Wolfram ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARSENIC COMPOUNDS; BLOCK CODES; ERROR ANALYSIS; GRADIENT METHODS; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; MAPS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; MOBILE ROBOTS; OPTICAL PROJECTORS; ROBOTICS;

INTERNATIONAL CONFERENCES; SLAM PROBLEM;

PROBLEM SOLVING;

EID: 51349163142     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399030     Document Type: Conference Paper

References (15)

1. T. Barrera, A. Hast, and E. Bengtsson. Incremental spherical linear interpolation. In SIGRAD, volume 13, pages 7-13, 2004.
2. F. Dellaert. Square Root SAM. In Proc. of Robotics: Science and Systems (RSS), pages 177-184, Cambridge, MA, USA, 2005.
3. T. Duckett, S. Marsland, and J. Shapiro. Fast, on-line learning of globally consistent maps. Autonomous Robots, 12(3):287 - 300, 2002.
4. U. Frese, P. Larsson, and T. Duckett. A multilevel relaxation algorithm for simultaneous localisation and mapping. IEEE Transactions on Robotics, 21(2): 1-12, 2005.
5. G. Grisetti, C. Stachniss, S. Grzonka, and W. Burgard. TORO project at OpenSLAM.org. http://www.openslam.org/toro.html, 2007.
6. G. Grisetti, C. Stachniss, S. Grzonka, and W. Burgard. A tree parameterization for efficiently computing maximum likelihood maps using gradient descent. In Proc. of Robotics: Science and Systems (RSS), Atlanta, GA, USA, 2007.
7. J.-S. Gutmann and K. Konolige. Incremental mapping of large cyclic environments. In Proc. of the IEEE Int. Symposium on Computational Intelligence in Robotics and Automation (CIRA), pages 318-325, Monterey, CA, USA, 1999.
8. A. Howard, M.J. Matarić, and G. Sukhatme. Relaxation on a mesh: a formalism for generalized localization. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2001.
9. A. Howard, D.F. Wolf, and G.S. Sukhatme. Towards 3d mapping in large urban environments. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), pages 419-424, 2004.
10. F. Lu and E. Milios. Globally consistent range scan alignment for environment mapping. Autonomous Robots, 4:333-349, 1997.
11. P. Newman, D. Cole, and K. Ho. Outdoor slam using visual appearance and laser ranging. In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), Orlando, FL, USA, 2006.
12. A. Nüchter, K. Lingemann, J. Hertzberg, and H. Surmann. 6d SLAM with approximate data association. In Proc. of the 12th Int. Conference on Advanced Robotics (ICAR), pages 242-249, 2005.
13. E. Olson, J. Leonard, and S. Teller. Fast iterative optimization of pose graphs with poor initial estimates. In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), pages 2262-2269, 2006.
14. P. Pfaff, R. Triebel, C. Stachniss, P. Lamon, W. Burgard, and R. Siegwart. Towards mapping of cities. In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), Rome, Italy, 2007.
15. R. Triebel, P. Pfaff, and W. Burgard. Multi-level surface maps for outdoor terrain mapping and loop closing. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2006.