Distributed environment representation and object localization system in intelligent space

Journal of Control Theory and Applications

Volumn 10, Issue 3, 2012, Pages 371-379

  Xue, Yinghua ^a,b   Tian, Guohui ^a   Song, Baoye ^a   Zhang, Taotao ^a  

^a SHANDONG UNIVERSITY   (China)

^b SHANDONG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

Artificial landmark; Distributed map representation; Intelligent space; Object localization; RFID

Indexed keywords

ANTI-INTERFERENCE; ARTIFICIAL LANDMARK; DISTRIBUTED ENVIRONMENTS; DISTRIBUTED MAP REPRESENTATION; INDOOR ENVIRONMENT; INTELLIGENT SPACES; LOCALIZATION ACCURACY; MAP BUILDING; MOBILE RFID; OBJECT LOCALIZATION; OBJECT OPERATION; QR CODES; REFERENCE OBJECTS; REPRESENTATION METHOD; RF-ID TAGS; RFID SYSTEMS; SEARCH EFFICIENCY; SEARCH SCHEME; SHORT DISTANCES; TARGET OBJECT; TIME SEQUENCES; TOPOLOGICAL MAP; VISION SYSTEMS; VISION TECHNOLOGY;

RADIO FREQUENCY IDENTIFICATION (RFID); RADIO NAVIGATION;

OBJECT RECOGNITION;

EID: 84863318706     PISSN: 16726340     EISSN: 10008152     Source Type: Journal    
DOI: 10.1007/s11768-012-0172-1     Document Type: Article

References (23)

1. R. A. Brooks. The intelligent room project. Proceedings of the Second International Conference on Cognitive Technology. Piscataway, New Jersey: IEEE, 1997: 271-278.
2. B. Johanson, T. Winograd, A. Fox. Interactive workspaces. Computer, 2003, 36(4): 99-101.
3. M. Niitsuma, H. Hashimoto. Spatial memory as an aid system for human activity in intelligent space. IEEE Transactions on Industrial Electronics, 2007, 54(2): 1122-1131.
4. G. Tian, X. Li, S. Zhao, et al. Research and development of intelligent space technology for a home service robot. Journal of Shandong University (Engineering Science), 2007, 37(5): 53-59.
5. F. Lerasle, J. Carbajo, M. Devy, et al. Environment modeling for topological navigation using visual landmarks and range data. Proceedings of IEEE International Conference on Robotics and Automation. Piscataway, New Jersey: IEEE, 2003, 1: 1330-1335.
6. M. Betke, L. Gurvits. Mobile robot localization using landmarks. IEEE Transactions on Robotics and Automation, 1997, 13(2): 251-263.
7. P. R. Kumar, K. Sridharan, S. Srinivasan. A parallel algorithm, architecture and FPGA realization for landmark determination and map construction in a planar unknown environment. Parallel Computing, 2006, 32(3): 205-221.
8. R. M. Palenichka, R. Missaoui, M. B. Zaremba. Fast object localization using multi-scale image relevance function. Proceedings of the 17th International Conference on Pattern Recognition. Piscataway, New Jersey: IEEE, 2004: 227-230.
9. E. Kefalea. Object localization and recognition for a grasping robot. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society. Los Alamitos: IEEE Computer Society, 1998: 2057-2062.
10. M. Brejl, M. Sonka. Object localization and border detection criteria design in edge-based image segmentation: automated learning from examples. IEEE Transactions on Medical Imaging, 2000, 19(10): 973-985.
11. N. Strobel, S. Spors, R. Rabenstein. Joint audio-video object localization and tracking. IEEE Signal Processing Magazine, 2001, 18(1): 22-31.
12. L. Baglivo, N. Bellomo, G. Miori, et al. An object localization and reaching method for wheeled mobile robots using laser rangefinder. International IEEE Conference on Intelligent Systems. Piscataway, New Jersey: IEEE, 2008.
13. H. S. Ahn, W. Yu. Wireless localization networks for indoor service robots. International Conference on Mechtronic and Embedded Systems and Applications. Piscataway, New Jersey: IEEE, 2008: 65-70.
14. T. Kim, J. Shin, S. Tak. Cell planning for indoor object tracking based on RFID. International Conference on Mobile Data Management: Systems, Services and Middleware. Piscataway, New Jersey: IEEE, 2009: 709-713.
15. S. Roh, H. R. Choi. 3-D tag-based RFID system for recognition of object. IEEE Transactions on Automation Science and Engineering, 2009, 6(1): 55-65.
16. M. M. Kaleja, A. J. Herb, R. H. Rasshofer, et al. Imaging RFID system at 24 GHz for object localization. IEEE MT-S International Microwave Symposium Digest. Piscataway, New Jersey: IEEE, 1999, 4: 1497-1500.
17. P. Kamol, S. Nikolandis, R. Ueda, et al. RFID based object localization system using ceiling cameras with particle filter. Proceedings of Future Generation Communication and Networking. Piscataway, New Jersey: IEEE, 2007, 2: 37-42.
18. S. Zhao, G. Tian, X. Li. Robot autonomous localization based on single artificial landmark. Journal of Shandong University (Engineering Science), 2007, 37(4): 39-44.
19. D. Scharstein, A. J. Briggs. Real-time recognition of self-similar landmarks. Image and Vision Computing, 2001, 19(11): 763-772.
20. B. Zitova, J. Flusser. Landmark recognition using invariant features. Pattern Recognition Letters, 1999, 20(5): 541-547.
21. L. Ni, Y. Liu, Y. Lau, et al. LANDMARC: indoor location sensing using active RFID. Proceedings of the First IEEE International Conference on Pervasive Computing and Communications. Piscataway, New Jersey: IEEE, 2003: 407-415.
22. M. Hu. Visual-pattern recognition by moment invariants. IRE Transactions on Information Theory, 1962, 8(2): 179-187.
23. G. Xu, L. Tao, D. Zhang, et al. Dual relation in physical and cyber space. Chinese Science Bulletin, 2006, 51(1): 121-128.