Lifelong Map Learning for Graph-based SLAM in Static Environments

KI - Kunstliche Intelligenz

Volumn 24, Issue 3, 2010, Pages 199-206

  Kretzschmar, Henrik ^a   Grisetti, Giorgio ^a   Stachniss, Cyrill ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Expected information gain; Mapping; SLAM

Indexed keywords

ROBOTICS; ROBOTS;

EXPECTED INFORMATION GAIN; EXPECTED INFORMATIONS; GRAPH-BASED; INFORMATION GAIN; MAP LEARNING; RUNTIMES; SIMULTANEOUS LOCALIZATION AND MAPPING PROBLEMS; SLAM; SPATIAL CONSTRAINTS; STATIC ENVIRONMENT;

MAPPING;

EID: 78651515765     PISSN: 09331875     EISSN: 16101987     Source Type: Journal    
DOI: 10.1007/s13218-010-0034-2     Document Type: Article

References (25)

1. Biber P, Duckett T (2005) Dynamic maps for long-term operation of mobile service robots. In: Proc of robotics: science and systems (RSS), pp 17–24
2. Duckett T, Marsland S, Shapiro J (2002) Fast, on-line learning of globally consistent maps. Auton Robots 12(3):287–300 DOI: 10.1023/A:1015269615729
3. Eustice R, Singh H, Leonard J (2005) Exactly sparse delayed-state filters. In: Proc of the IEEE int conf on robotics & automation (ICRA), pp 2428–2435
4. Eustice R, Singh H, Leonard J (2006) Exactly sparse delayed-state filters for view-based SLAM. IEEE Trans Robot 22(6):1100–1114 DOI: 10.1109/TRO.2006.886264
5. Folkesson J, Christensen H (2004) Graphical slam—a self-correcting map. In: Proc of the IEEE int conf on robotics & automation (ICRA)
6. Frese U, Larsson P, Duckett T (2005) A multilevel relaxation algorithm for simultaneous localisation and mapping. IEEE Trans Robot 21(2):1–12 DOI: 10.1109/TRO.2004.839220
7. Garrison WL, Marble DF (1965) A prolegomenon to the forecasting of transportation development. United States Army Aviation Material Labs Technical Report, Office of Technical Services, United States Department of Commerce
8. Grisetti G, Stachniss C, Burgard W (2007a) Improved techniques for grid mapping with Rao-blackwellized particle filters. IEEE Trans Robot 23(1):34–46 DOI: 10.1109/TRO.2006.889486
9. Grisetti G, Stachniss C, Grzonka S, Burgard W (2007b) A tree parameterization for efficiently computing maximum likelihood maps using gradient descent. In: Proc of robotics: science and systems (RSS)
10. Grisetti G, Rizzini DL, Stachniss C, Olson E, Burgard W (2008) Online constraint network optimization for efficient maximum likelihood map learning. In: Proc of the IEEE int conf on robotics & automation (ICRA)
11. Julier S, Uhlmann J, Durrant-Whyte H (1995) A new approach for filtering nonlinear systems. In: Proc of the American control conference, pp 1628–1632
12. Konolige K, Agrawal M (2008) Frameslam: from bundle adjustment to real-time visual mapping. IEEE Trans Robot 24(5):1066–1077 DOI: 10.1109/TRO.2008.2004832
13. Leonard J, Durrant-Whyte H (1991) Mobile robot localization by tracking geometric beacons. IEEE Trans Robot Automat 7(4):376–382 DOI: 10.1109/70.88147
14. Lu F, Milios E (1997) Globally consistent range scan alignment for environment mapping. Auton Robots 4:333–349 DOI: 10.1023/A:1008854305733
15. Montemerlo M, Thrun S (2003) Simultaneous localization and mapping with unknown data association using FastSLAM. In: Proc of the IEEE int conf on robotics & automation (ICRA), pp 1985–1991
16. Moravec H, Elfes A (1985) High resolution maps from wide angle sonar. In: Proc of the IEEE int conf on robotics & automation (ICRA), St Louis, MO, USA, pp 116–121
17. Olson E (2008) Robust and efficient robotic mapping. PhD thesis, MIT, Cambridge, MA, USA
18. Olson E, Walter M, Leonard J, Teller S (2005) Single cluster graph partitioning for robotics applications. In: Proceedings of robotics science and systems, pp 265–272
19. Olson E, Leonard J, Teller S (2006) Fast iterative optimization of pose graphs with poor initial estimates. In: Proc of the IEEE int conf on robotics & automation (ICRA), pp 2262–2269
20. Stachniss C, Burgard W (2005) Mobile robot mapping and localization in non-static environments. In: Proc of the national conference on artificial intelligence (AAAI), pp 1324–1329
21. Stachniss C, Grisetti G, Burgard W (2005) Information gain-based exploration using Rao-blackwellized particle filters. In: Proc of robotics: science and systems (RSS), Cambridge, MA, USA, pp 65–72
22. Thrun S, Montemerlo M (2006) The graph SLAM algorithm with applications to large-scale mapping of urban structures. Int J Robot Res 25(5–6):403 DOI: 10.1177/0278364906065387
23. Thrun S, Liu Y, Koller D, Ng A, Ghahramani Z, Durrant-Whyte H (2004) Simultaneous localization and mapping with sparse extended information filters. Int J Robot Res 23(78):693–716 DOI: 10.1177/0278364904045479
24. Thrun S, Burgard W, Fox D (2005) Probabilistic robotics. MIT Press, Cambridge
25. Tipaldi GD, Grisetti G, Burgard W (2007) Approximated covariance estimation in graphical approaches to slam. In: Proc of the IEEE/RSJ int conf on intelligent robots and systems (IROS)