參考文獻 |
[1] J. W. Choi, S. H. Kwon, H. Y. Lee, S. G. Lee, “Navigation Strategy of an Intelligent Mobile Robot Using Fuzzy Logic,” IEEE International Conference on Computational Intelligence, vol.1, pp. 602-605, 1998.
[2] B. N. Kim, O. S. Kwon, K. H. Kim, E. H. Lee, S. H. Hong, “A Study on Path Planning for Mobile Robot Based on Fuzzy Logic Controller,” TENCON 99. Proceedings of the IEEE Region 10 Conference, vol.2, pp. 1002-1005, 1999.
[3] K. T. Song and C. C. Chang, “Ultrasonic Sensor Data Fusion for Environment Recognition,” IEEE International Conference on Intelligent Robots and Systems, vol. 1, pp. 384-390, July 1993.
[4] F. J. Toledo, J. D. Luis, L. M. Tomas, M. A. Zamora, H. Martinez, “Map Building with Ultrasonic Sensors of Indoor Environments Using Neural Networks,” IEEE International Conference on Systems, Man, and Cybernetics, vol.2, pp. 920-925, 2000.
[5] J. Urena, M. Mazo, J. J. Garcia, A. Hernandez, and E. Bueno, “Classification of Reflectors with an Ultrasonic Sensor for Mobile Robot Applications,” Robotics and Autonomous Systems, vol.29, pp. 269-279, Dec. 1999.
[6] J. J. Lin, H. L. Ko, H. Y. Chung, “A Dynamic Tri-ultrasonic Transducer System Based on Fuzzy Control,” Proceedings of the 17th National Conference on Mechanical Engineering, vol. 2, pp. 247-253, Dec. 2000.
[7] R. Kuc, “A Spatial Sampling Criterion for Sonar Obstacle Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 7, pp. 686-690, July 1990.
[8] H. Peremans, “A Maximum Likelihood Algorithm for Solving the Correspondence Problem in Tri-aural Perception,” IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 485-492, 1994.
[9] L. Kleeman and R. Kuc, ”An Optimal Sonar Array for Target Localization and Classification,” IEEE International Conference on Robotics and Automation, vol.4, pp. 3130-3135, 1994.
[10] B. Barshan, and R. Kuc, “Differentiating Sonar Reflections from Corners and Planes by Employing an Intelligent Sensor,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 6, pp. 560-569, June 1990.
[11] O. Bozma and R. Kuc, “Building a Sonar Map in a Specular Environment Using a Single Mobile Sensor,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.13, no. 12, pp. 1260-1269, Dec. 1991.
[12] M. Yang, S. L. Hill, and J. O. Gray, “Localization of Plane Reflectors Using a Wide-Beamwidth Ultrasound Transducer Arrangement,” IEEE Trans. on Instrumentation and Measurement, vol. 46, no.3, pp. 711-716, June 1997.
[13] M. L. Hong and L. Kleeman, “Ultrasonic Classification and Location of 3D Room Features Using Maximum Likelihood Estimation-Part I,” Robotica, vol. 15, pp. 483-491, 1997.
[14] H. Peremans, K. Audenaert, and J. M. Van Campenhout, “A High-Resolution Sensor Based on Tri-aural Perception,” IEEE Trans. on Robotics and Automation, vol. 9, no. 1, pp. 36-48, Feb. 1993.
[15] H. Peremans and J. Van Campenhout, “Tri-aural Perception on a Mobile Robot,” IEEE International Conference on Robotica & Automation, vol.1, pp.265-270, 1993.
[16] H. J. Jeon and B. K. Kim, “A Study on World Map Building for Mobile Robots with Tri-aural Ultrasonic Sensor System,” IEEE International Conference on Robotics and Automation, vol. 3, pp. 2907-2912, 1995.
[17] Y. Han, H. Hahn, “Localization and Classification of Target Surfaces Using Two Pairs of Ultrasonic Sensors,” IEEE International Conference on Robotics & Automation, pp. 637-643, May 1999.
[18] L. Kleeman and R. Kuc, “Mobile Robot Sonar for Target Localization and Classification,” Robotica, vol. 14, no. 4, pp. 295-318, Aug. 1995.
[19] H. Akbarally and L. Kleeman, “A Sonar Sensor for Accurate 3D Target Localization and Classification,” IEEE International Conference on Robotics & Automation, pp. 3003-3008, 1995.
[20] K. T. Song and W. H. Tang, “Environment Perception for a Mobile Robot Using Double Ultrasonic Sensors and a CCD Camera,” IEEE Transactions on Industrial Electronics, vol. 43, no. 3, pp. 372-379, June 1996.
[21] T. Yata, A. Ohya, S. Yuta, “Fusion of Omni-directional Sonar and Omni-directional Vision for Environment Recognition of Mobile Robots,” IEEE International Conference on Robotics & Automation, vol. 4, pp. 3925-3930, April 2000.
[22] Rafale C. Gonzalez and Richard E. Wood, Digital Image Processing, Addison Wesley, 1992.
[23] Bastos-Filho, T. F. , Sarcinelli-Filho, M. and Freitas, R. A. C., “A multi-sensorial Integration Scheme to Help Mobile Robot Navigation through Obstacle Recognition,” IEEE International Conference on Emerging Technologies and Factory Automation, vol. 1, pp. 549-558, Oct. 1999. |