What can we learn from 38,000 rooms? Reasoning about unexplored space in indoor environments

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2012, Pages 4675-4682

  Aydemir, Alper ^a   Jensfelt, Patric ^a   Folkesson, John ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; FLOORPLANS; INDOOR ENVIRONMENT; LOCAL COMPLEXITY; SPATIAL KNOWLEDGE;

GRAPH THEORY; INTELLIGENT SYSTEMS; ROBOTICS;

FLOORS;

EID: 84872328191     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2012.6386110     Document Type: Conference Paper

References (12)

1. A. Davids, "Urban search and rescue robots: from tragedy to technology," Intelligent Systems, IEEE, vol. 17, no. 2, pp. 81-83, march-april 2002.
2. A. Aydemir, M. Göbelbecker, A. Pronobis, K. Sjöö, and P. Jensfelt, "Plan-based object search and exploration using semantic spatial knowledge in the real world," in Proc. of the European Conference on Mobile Robotics (ECMR'11), Örebro, Sweden, Sept. 2011.
3. T. Kollar and N. Roy, "Utilizing object-object and object-scene context when planning to find things," in ICRA'09: Proceedings of the 2009 IEEE international conference on Robotics and Automation. Piscataway, NJ, USA: IEEE Press, 2009, pp. 4116-4121.
4. S. Vasudevan and R. Siegwart, "Bayesian space conceptualization and place classification for semantic maps in mobile robotics," Robotics and Autonomous Systems, vol. 56, no. 6, pp. 522-537, June 2008.
5. K. Sjöö, "Semantic map segmentation using function-based energy maximization," IEEE International Conference on Robotics and Automation (ICRA), 2012.
6. E. Whiting, "Geometric, topological and semantic analysis of multi-building floor plan data," 2006.
7. D. J. Watts and S. H. Strogatz, "Collective dynamics of small-world networks," Nature, vol. 393, no. 6684, pp. 440-442, June 1998.
8. P. Erdo″s and A. Rényi, "On random graphs. I," Publ. Math. Debrecen, vol. 6, pp. 290-297, 1959.
9. R. Albert and A. Barabási, "Statistical mechanics of complex networks," Reviews of modern physics, vol. 74, no. 1, p. 47, 2002.
10. A. Barabási and R. Albert, "Emergence of scaling in random networks," Science, vol. 286, no. 5439, pp. 509-512, 1999.
11. X. Yan and J. Han, "gspan: Graph-based substructure pattern mining," in Proceedings of the 2002 IEEE International Conference on Data Mining, ser. ICDM '02. Washington, DC, USA: IEEE Computer Society, 2002, pp. 721-.
12. G. H. Bakir, T. Hofmann, B. Schölkopf, A. J. Smola, B. Taskar, and S. V. N. Vishwanathan, Predicting Structured Data (Neural Information Processing). The MIT Press, 2007.