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Reseach Article

Textual Signs Reading for Indoor Semantic Map Construction

by Basem Ibraheem, Abeer Hamdy, Nevien Darwish
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 10
Year of Publication: 2012
Authors: Basem Ibraheem, Abeer Hamdy, Nevien Darwish
10.5120/8459-2268

Basem Ibraheem, Abeer Hamdy, Nevien Darwish . Textual Signs Reading for Indoor Semantic Map Construction. International Journal of Computer Applications. 53, 10 ( September 2012), 36-43. DOI=10.5120/8459-2268

@article{ 10.5120/8459-2268,
author = { Basem Ibraheem, Abeer Hamdy, Nevien Darwish },
title = { Textual Signs Reading for Indoor Semantic Map Construction },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 10 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number10/8459-2268/ },
doi = { 10.5120/8459-2268 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:47.654657+05:30
%A Basem Ibraheem
%A Abeer Hamdy
%A Nevien Darwish
%T Textual Signs Reading for Indoor Semantic Map Construction
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 10
%P 36-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Semantic maps have come up to facilitate high-level human robot interaction like "deliver a laptop for maintenance". Textual signs posted on the walls and room doors in indoor environments are environment features that could be easily identified by service robots. These signs provide some semantic information like the function of the room and its occupants. In addition, they consider landmarks for the service robots. This paper is a continuous work of developing a framework for creating a semantic map for indoor environment using mobile robot [17]. The paper addresses the problem of automatically detecting and recognizing textual signs during robotic mapping. Then, annotating these recognized signs to a previously generated robotic grid map. ATRV-mini robot has been used in our experiments.

References
  1. B. Lorenz, H. Ohlbach, and E. Stoffel, " A Hybrid Spatial Model for Representing Indoor Environments", Journal of Web and Wireless Geographical Information Systems, SpringerLink, Volume 4295, 2006.
  2. Beeson,P. , MacMahon,M. , Modayil,,J. Murarka,A. , Kuipers, B. , Stankiewicz, B. 2007, Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication, Interaction Challenges for Intelligent Assistants, In Proceedings of AAAI Spring Symposium Series.
  3. Beevers, K. R. , and Huang, W. H. 2005, Loop closing in topological maps, In Proceedings of (ICRA 2005) IEEE Int. Conference on Robotics and Automation.
  4. Birk, A. and Carpin, S. 2006. Merging occupancy grid maps from multiple robots. In Proceedings of the IEEE Special Issue on Multi-Robot Systems.
  5. Bruce, J. , Balch, T. , and Veloso, M. 2000, "Fast and cheap color vision on commodity hardware", In Proceedings of Workshop on Interactive Robotics and Entertainment.
  6. B. Epshtein, E. Ofek and Y. Wexler, "Detecting text in natural scenes with stroke width transform", Computer Vision and Pattern Recognition, 2010.
  7. Carlos, J. , Broch, P. , Teresa, M. and Monferrer, E. 2005 "Cognitive Maps for Mobile Robot Navigation: A Hybrid representation Using Reference Systems", In Proceedings of the 19th International Workshop on Qualitative Reasoning.
  8. Case, C. , Suresh, B. , Coates, A. and Ng, A. Y. 2011. Autonomous sign reading for semantic mapping. In Proceedings of IEEE International conference on Robotics and Automation.
  9. C. Galindo, J. A. Fernández-Madrigal, J. González, A. Saffiotti, "Robot Task Planning using Semantic Maps", Journal of Robotics and Autonomous Systems 56,2008.
  10. Dai1, F. , Sugisaka2, M. and Zhang3, B. , 2011, A Survey of Image Segmentation by the Classical Method and Resonance Algorithms. InTech.
  11. F. V. Mayorov, "Electronic Digital Integrating Computers Digital Differential Analyzers", London: Iliffe Books Ltd, 1964.
  12. FlowDesigner project http://www. sf. net/flowdesigner.
  13. GIMP: http://www. gimp. org/
  14. Galindo, C. , Saffiotti, A. , Coradeschi, S. , Buschka, P. , Fern´andez-Madrigal, J. , Gonz´alez, J. , 2005, Multi-hierarchical semantic maps for mobile robotics, In Proceedings of the IEEE/RSJ Int. Conf on Intelligent Robots and Systems.
  15. Grisetti, G. , Stachniss, C. , Burgard, W. , 2005, Improving Grid Based SLAM with Rao Blackwellized Particle Filters by Adaptive Proposals and Selective Resembling, In Proceedings of Int. Conference on Robotics and Automation.
  16. Huang, W. H. and Beevers, K. R. , 2005, Topological mapping with sensing-limited robots, In M. Erdmann et al. , editors, Algorithmic Foundations of Robotics VI, Zeist, Springer.
  17. Ibrahim, B. , Hamdy, A. , 2011, Building Semantic Maps for High-Level Task Planning of Mobile Robots, In Proceedings of 1st International Conference on New Paradigms in Electronics and Information Technologies.
  18. IRobot, http://www. irobot. com.
  19. Jung, K. , Kim, K. , Jain, A. K. , 2004, Text information extraction in images and video: a survey, Pattern Recognition.
  20. Jung-Suk, L. , Yep, N. S. , Kyun, C. W. , 2011, Robust RBPF-SLAM for Indoor Mobile Robots Using Sonar Sensors in Non-Static Environments, Advanced Robotics.
  21. J. Liang, D. Doermann, H. Li, "Camera-based analysis of text and documents: a survey", International Journal on Document Analysis and Recognition", 2005.
  22. Kleeman, L. , 2003, Advanced sonar and odometry error modeling for simultaneous localization and map building, In Proceedings of Intelligent Robots and Systems.
  23. Kuipers, B. , Modayil, J. , Beeson, P. , MacMahon, M. and Savelli, F. , 2004, Local Metrical and Global Topological Maps in the Hybrid Spatial Semantic Hierarchy, In Proceedings of Int. Conference on Robotics and Automation.
  24. LaValle, S. M. 2006 Planning Algorithms, Cambridge University Press http://planning. cs. uiuc. edu/.
  25. L´etourneau, D. , Michaud, F. , Valin, J. , Proulx, C. , 2003, Textual Message Read by a Mobile Robot, In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems.
  26. Meger, D. , Forssen, P. , Lai, K. , Helmer, S. , McCann, S. , Southey, T. , Baumann, M. , Little, J. , Lowe, D. , Dow, B. , 2007, Curious George: An attentive semantic robot, In Proceedings of IROS Workshop: From sensors to human spatial concepts.
  27. Minai, A. , Williams, R. 1990. Back-propagation heuristics: a study of the extended delta-bar-delta algorithm. In Proceedings of IJCNN International Joint Conference.
  28. Morgenstern, C. and Heisele,B. 2003 "Component Based Recognition of Objects in an Office Environment", http://cbcl. mit. edu/publications/ai-publications/2003/AIM-2003-024. pdf.
  29. O'Sullivan, S. , Collins, J. J. , Mansfield, M. , Haskett, D. and Eaton, M. , 2004, Linear Feature Prediction for Confidence Estimation of Sonar Readings in Map Building, In Proceedings of 9th International Symposium on Artificial Life and Robotics.
  30. Player Stage project, http://www. sf. net/playerstage.
  31. Qcad: www. qcad. org
  32. Ranganathan, A. , Dellaert ,F. 2007 Semantic modeling of places using objects. In Proceedings of Robotics Science and Systems Conf.
  33. Rogers III, J. G. , Trevor, A J. B. , Nieto-Granda, C. and Christensen, H. I. , 2011, Simultaneous Localization and Mapping with Learned Object Recognition and Semantic Data Association, In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems.
  34. Steck, M. and Müller, R. ,2003, Road Sign Recognition, Term Paper, Computer Perception with Artificial Intelligence, University of Applied Sciences, Biel, Switzerland.
  35. S. Vasudevan, S. Gachter, V. Nguyen, R. Siegwart, "Cognitive maps for mobile robots and object based approach" , Robotics and Autonomous Systems 55, 2007.
  36. Thrun, S. , Liu, Y. , Koller, D. ,2004, Simultaneous localization and mapping with sparse extended information, International Journal of Robotics Research.
  37. Trevor, A. J. B, Rogers III, J. G. , Nieto-Granda, C. and Christensen, H. I. , 2010, Applying domain knowledge to SLAM using virtual measurements, In Proceedings of International Conference on Robotics and Automation.
  38. X. Li, X. Huang and M. Wang, "Robot Map Building From Sonar Sensors And Dsmt", Information & Security. An International Journal, Vol. 20, 2006.
  39. Y. Li, K. H. Ang, and G. C. Y. Chong, "PID control system analysis and design - Problems, remedies, and future directions", IEEE Control Systems Magazine, 26 (1), 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Mobile Robot Map Learning NNet ATRV-mini Semantic Map OCR