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Topological Modeling using Sonar Grid Map

초음파 격자 지도를 이용한 위상학적 지도 작성 기법 개발

  • 최진우 (포항공과대학교 기계공학과) ;
  • 최민용 (포항공과대학교 기계공학과) ;
  • 정완균 (포항공과대학교 기계공학과)
  • Received : 2011.02.16
  • Accepted : 2011.04.25
  • Published : 2011.05.31

Abstract

This paper presents a method of topological modeling using only low-cost sonar sensors. The proposed method constructs a topological model by extracting sub-regions from the local grid map. The extracted sub-regions are considered as nodes in the topological model, and the corresponding edges are generated according to the connectivity between two sub-regions. A grid confidence for each occupied grid is evaluated to obtain reliable regions in the local grid map by filtering out noisy data. Moreover, a convexity measure is used to extract sub-regions automatically. Through these processes, the topological model is constructed without predefining the number of sub-regions in advance and the proposed method guarantees the convexity of extracted sub-regions. Unlike previous topological modeling methods which are appropriate to the corridor-like environment, the proposed method can give a reliable topological modeling in a home environment even under the noisy sonar data. The performance of the proposed method is verified by experimental results in a real home environment.

Keywords

References

  1. S. Thrun, "Robotic mapping: a survey", in Exploring Artificial Intelligence in the New Millenium, edited by G. Lakemeyer and B. Nebel, Morgan Kaufmann, 2002.
  2. A. Elfes, "Using Occupancy Grids for Mobile Robot Perception and Navigation", IEEE Computer, Vol.22, No. 6, pp.46-57, 1989.
  3. J. J. Leonard and H. F. Durrant-Whyte, "Simultaneous Map Building and Localization for an Autonomous Mobile Robot", in Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1442- 1447, 1991.
  4. H. Choset and K. Nagatani, "Topological Simultaneous Localization and Mapping (SLAM): Toward Exact Localization without Explicit Localization", IEEE Transactions on Robotics and Automation, Vol.17, No.2, pp.125-137, 2001. https://doi.org/10.1109/70.928558
  5. T. B. Kwon and J. B. Song, "Real-time building of a thinning-based topological map", Intelligent Service Robotics, Vol.1, No.3, pp.211-220, 2008. https://doi.org/10.1007/s11370-008-0015-6
  6. S. Thrun, "Learning metric-topological maps for indoor mobile robot navigation", Artificial Intelligence, Vol.99, No.1, pp.21-77, 1998. https://doi.org/10.1016/S0004-3702(97)00078-7
  7. K. Lee, N. L. Doh and W. K. Chung, "An Exploration Strategy using Sonar Sensors in Topological Environments", Intelligent Service Robotics, Vol.3, No.2, pp.89-98, 2010. https://doi.org/10.1007/s11370-010-0061-8
  8. P. Buschka and A. Saffiotti, "A Virtual Sensor for Room Detection", in Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.637-642, 2002.
  9. Z. Zivkovic, B. Bakker and B. Krose, "Hierarchical Map Building and Planning based on Graph Partitioning", in Proc. of IEEE International Conference on Robotics and Automation, pp.803-809, 2006.
  10. E. Brunskill, T. Kollar and N. Roy, "Topological Mapping Using Spectral Clustering and Classification", in Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3491-3496, 2007.
  11. O. M. Mozos and W. Burgard, "Supervised learning of topological maps using semantic information extracted from range data", in Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2772-2777, 2006.
  12. S. Friedman, H. Pasula and D. Fox, "Voronoi Random Fields: Extracting the Topological Structure of Indoor Environments via Place Labeling", in Proc. of International Joint Conference on Artificial Intelligence, pp.2109-2114, 2007.
  13. J. Huh, W. S. Chung, S. Y. Nam and W. K. Chung, "Mobile Robot Exploration in Indoor Environment Using Topological Structure with Invisible Barcodes", ETRI Journal, Vol.29, No.2, pp.189-200, 2007. https://doi.org/10.4218/etrij.07.0106.0066
  14. P. Viswanathan, D. Meger, T. Southey, J. J. Little and A. Mackworth, "Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search", in Proc. of Canadian Conference on Computer and Robot Vision, pp.284-291, 2009.
  15. S. Park, M. Park and S. K. Park, "Object-Spatial Layout-Route based Hybrid Map and Global Localization for Mobile Robots", International Journal of Control, Automation, and Systems, Vol.7, No.4, pp.598-614, 2009. https://doi.org/10.1007/s12555-009-0411-5
  16. J. Choi, M. Choi and W. K. Chung, "Incremental Topological Modeling using Sonar Gridmap in Home environment", In Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3582-3587, 2009.
  17. J. Choi, M. Choi, S. Y. Nam and W. K. Chung, "Autonomous topological modeling of a home environment and topological localization using a sonar grid map", Autonomous Robots, Vol.30, No.4, pp.351- 368, 2011. https://doi.org/10.1007/s10514-011-9223-6
  18. K. Lee and W. K. Chung, "Effective maximum likelihood grid map with conflict evaluation filter using sonar sensors", IEEE Transactions on Robotics, Vol.25, No.4, pp.887-901, 2009. https://doi.org/10.1109/TRO.2009.2024783
  19. L. Kleeman and R. Kuc, "Sonar sensing", in Handbook on Robotics, edited by B. Siciliano and O. Khatib, Springer, 2008.
  20. J. Shi and J. Malik, "Normalized Cuts and Image Segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.22, Issue8, pp.888-905, 2000. https://doi.org/10.1109/34.868688