TARGET LOCALIZATION BASED ON MULTISENSOR FUSION FOR MOBILE ROBOTS

G.-S. Yang, Z.-G. Hou, M. Tan, and H. Yan

References

  1. [1] S.B.H. Bruder, An information centric approach to heterogeneous multi-sensor integration for robotic application, Robotics and Autonomous Systems, 26, 1999, 255–280. doi:10.1016/S0921-8890(98)00057-8
  2. [2] J. Neira & J.D. Tardós, Fusing range and intensity images for mobile robot location, IEEE Trans. on Robotics and Automation, 15 (1), 1999, 76–84. doi:10.1109/70.744604
  3. [3] H. Xu & H.V. Brussel, Sensor fusion and positioning of the mobile robot LiAS, Intelligent Autonomous Systems (IOS), Amsterdam, Netherlands, 1995, 246–253.
  4. [4] P. Grandjean, 3-D modeling of indoor scenes by fusion of noisy range and stereo data, IEEE Int. Conf. on Robotic Automation, Scottsdale, AZ, 1989, 681–687.
  5. [5] K.T. Song & W.H. Tang, Environment perception for a mobile robot using double ultrasonic sensors and a CCD camera, IEEE Trans. on Industrial Electronics, 43, 1996, 372–379. doi:10.1109/41.499809
  6. [6] K.T. Song & C.C. Chang, Reactive navigation in dynamic environment using a multisensor predictor, IEEE Trans. on SMC, 29 (6), 1999, 870–880. doi:10.1109/3477.809039
  7. [7] A. Zou, Z.G. Hou, L. Zhang, & M. Tan, A neural networkbased camera calibration method for mobile robot localization problems, in J. Wang et al. (Eds.), Springer lecture notes in computer sciences (LNCS): Advances in neural networks, vol. 3498 (Berlin: Springer-Verlag, 2005), 277–284.
  8. [8] A. Ohya, A. Kosaka, & A. Kak, Vision-based navigation by a mobile robot with obstacle avoidance using single-camera vision and ultrasonic sensing, IEEE Trans. on Robotics and Automation, 14(6), 1998, 969–979. doi:10.1109/70.736780
  9. [9] G. Dudek & M. Jenkin, Computational principles of mobile robotics (Cambridge: Cambridge University Press, 2000).
  10. [10] G.S. Yang, H. Yan, & M. Tan, Research on algorithm of camera calibration based on polynomial for a mobile robot, ISTM, 6, 2003, 4483–4488.
  11. [11] W.Y. Liu, Y.F. Sun, & H.J. Zhang, Performance evaluation protocol for content-based image retrieval algorithms/systems, CD-ROM of IEEE CVPR Workshop on Empirical Evaluation Methods in Computer Vision, Hawaii, 2001.
  12. [12] M.J. Swain & D.H. Ballard, Color indexing, International Journal of Computer Vision, 7 (1), 1991, 11–32. doi:10.1007/BF00130487
  13. [13] Y. Zhu, T.N. Tan, & Y.H. Wang, Font recognition based on texture analysis, IEEE Trans. on Pattern Analysis and Machine Intelligence, 23 (10), 2001, 1192–1200. doi:10.1109/34.954608
  14. [14] T.N. Tan, Texture edge detection by modeling visual cortical channels, Pattern Recognition, 28 (9), 1995, 1283–1298. doi:10.1016/0031-3203(94)00017-G
  15. [15] T.A. Nodes & N.C. Gallagher, Media filters: Some modifications and their properties, IEEE Trans. on Acoustics, Speech, and Signal Processing, 30 (5), 1982, 739–746. doi:10.1109/TASSP.1982.1163951
  16. [16] G.S. Yang, L.H. Dou, J. Chen, & C.Z. Hou, Synergy decision in the multi-target tracking based on IRST and intermittentworking radar, International Journal, Information Fusion, 2 (4), 2001, 243–250. doi:10.1016/S1566-2535(01)00047-1

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