Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Volumn , Issue , 2009, Pages 3601-3608

  Rusu, Radu Bogdan ^a   Marton, Zoltan Csaba ^a   Blodow, Nico ^a   Holzbach, Andreas ^a   Beetz, Michael ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3D OBJECT; 3D POINT CLOUD; CLASSIFIED OBJECTS; DATA SETS; GEOMETRIC MAPPING; HYBRID CONCEPTS; MANIPULATION TASK; MODEL-BASED; PERSONAL ROBOTICS; PHYSICS-BASED SIMULATION; SEMANTIC OBJECTS; TRIANGULAR MESHES;

INTELLIGENT ROBOTS; KITCHENS; PIPELINE PROCESSING SYSTEMS; SEMANTICS;

THREE DIMENSIONAL;

EID: 76249103318     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2009.5354759     Document Type: Conference Paper

References (21)

1. R. B. Rusu, Z. C. Marton, N. Blodow, M. Dolha, and M. Beetz, "Towards 3D Point Cloud Based Object Maps for Household Environments," Robotics and Autonomous Systems Journal (Special Issue on Semantic Knowledge), 2008.
2. S. Vasudevan, S. Gächter, V. Nguyen, and R. Siegwart, "Cognitive maps for mobile robots-an object based approach," Robotics and Autonomous Systems, vol. 55, no. 5, pp. 359-371, 2007.
3. J. Modayil and B. Kuipers, "Bootstrap learning for object discovery," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-04), 2004, pp. 742-747.
4. Y. Liu, R. Emery, D. Chakrabarti, W. Burgard, and S. Thrun, "Using EM to Learn 3D Models of Indoor Environments with Mobile Robots," in ICML, 2001, pp. 329-336.
5. P. Biber, H. Andreasson, T. Duckett, and A. Schilling, "3D Modeling of Indoor Environments by a Mobile Robot with a Laser Scanner and Panoramic Camera," in IEEE/RSJ Int. Conf. on Intel. Rob. Sys., 2004.
6. J. Weingarten, G. Gruener, and R. Siegwart, "A Fast and Robust 3D Feature Extraction Algorithm for Structured Environment Reconstruction," in Int. Conf. on Advanced Robotics, 2003.
7. R. Triebel, Óscar Martínez Mozos, and W. Burgard, "Relational Learning in Mobile Robotics: An Application to Semantic Labeling of Objects in 2D and 3D Environment Maps," in Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications (GfKl), Freiburg, Germany, 2007.
8. A. Nuechter and J. Hertzberg, "Towards Semantic Maps for Mobile Robots," Journal of Robotics and Autonomous Systems (JRAS), Special Issue on Semantic Knowledge in Robotics, pp. 915 - 926, 2008.
9. M. Wuenstel and R. Moratz, "Automatic Object Recognition within an Office Environment," in CRV '04: Proceedings of the 1st Canadian Conference on Computer and Robot Vision, 2004, pp. 104-109.
10. O. M. Mozos, R. Triebel, P. Jensfelt, A. Rottmann, and W. Burgard, "Supervised Semantic Labeling of Places using Information Extracted from Laser and Vision Sensor Data," Robotics and Autonomous Systems Journal, vol. 55, no. 5, pp. 391-402, May 2007.
11. L. Iocchi and S. Pellegrini, "Building 3D maps with semantic elements integrating 2D laser, stereo vision and INS on a mobile robot," in 2nd ISPRS International Workshop 3D-ARCH, 2007.
12. I. Posner, M. Cummins, and P. Newman, "Fast Probabilistic Labeling of City Maps," in Proceedings of Robotics: Science and Systems, Zurich, June 2008.
13. D. Anguelov, B. Taskar, V. Chatalbashev, D. Koller, D. Gupta, G. Heitz, and A. Ng, "Discriminative learning of Markov random fields for segmentation of 3d scan data," in In Proc. of the Conf. on Computer Vision and Pattern Recognition (CVPR), 2005, pp. 169-176.
14. R. Triebel, R. Schmidt, O. M. Mozos, and W. Burgard, "Instace-based AMN classification for improved object recognition in 2d and 3d laser range data," in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), (Hyderabad, India), 2007.
15. R. B. Rusu, Z. C. Marton, N. Blodow, M. E. Dolha, and M. Beetz, "Functional Object Mapping of Kitchen Environments," in Proceedings of the 21st IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nice, France, September 22-26, 2008.
16. R. B. Rusu, N. Blodow, and M. Beetz, "Fast Point Feature Histograms (FPFH) for 3D Registration," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Kobe, Japan, May 12-17, 2009.
17. Z. C. Marton, R. B. Rusu, and M. Beetz, "On Fast Surface Reconstruction Methods for Large and Noisy Point Clouds," in Proceedings of the International Conference on Robotics and Automation (ICRA), Kobe, Japan, May 12-17, 2009.
18. P. Torr and A. Zisserman, "MLESAC: A new robust estimator with application to estimating image geometry," Computer Vision and Image Understanding, vol. 78, pp. 138-156, 2000.
19. R. Schnabel, R. Wahl, and R. Klein, "Efficient RANSAC for Point-Cloud Shape Detection," Computer Graphics Forum, vol. 26, no. 2, pp. 214-226, June 2007.
20. J. Lafferty, A. Mccallum, and F. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in Proc. 18th International Conf. on Machine Learning. Morgan Kaufmann, San Francisco, CA, 2001, pp. 282-289.
21. R. Klinger and K. Tomanek, "Classical probabilistic models and conditional random fields," Technische Universität Dortmund, Dortmund," Electronic Publication, 2007.