MATEC Web of Conferences
Volume 22, 2015International Conference on Engineering Technology and Application (ICETA 2015)
|Number of page(s)||5|
|Section||Information and Communication Technology|
|Published online||09 July 2015|
- SangJoo Kwon. & Kwang Woong Yang. 2006. An Effective Kalman Filter Localization Method for Mobile Robots. Beijing, China: Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 9-15, pp: 1524–1529.
- Leopoldo Jetto, et al. 1999. Development and Experimental Validation of an Adaptive Extended Kalman Filter for the Localization of Mobile Robots. IEEE Trans. Robotics and Automation, 15(2): 219–229. [CrossRef]
- Lin Y Z, Huang Y M. & Shi E X. 2004. Application of data fusion algorithm based on Kalman filter in mobile robot position measuring system [C]//Proceedings of the 5th World Congress on Intelligent Control and Automation. New York: IEEE Press, pp: 4956–4959.
- Borenstein, J., Everett, H.R., Feng, L. 1996. Navigating Mobile Robots, Systems and Techniques. Natick, MA,A.K. Peters, Ltd.
- Borenstein, J., Everett, H.R., Feng, L. Where Am I? Sensors and Methods for Mobile Robot Positioning. Ann Arbor, University of Michigan.
- Arras,K.O. & Tomatis,N. 1999. Improving Robustness and Precision in Mobile Robot Localization by Using Laser Range Finding and Monocular Vision. Proceedings of 3rd European Workshop on Advanced Mobile Robots (Eurobot 99), Zurich, September 6–9.
- Arras, K.O. & Tomatis,N. 1997. “Feature Extraction and Scene Interpretation for Map-based Navigation and Map Building”, in Proceedings of SPIE, Mobile Robotics XII, 3210: 42–53.
- Kanayama. 1996. A stable tracking control method for an autonomous mobile robot. In: ProcIEEE Int Conf Robots. IEEE Trans on Robotics and Automation. 1912: 47–61.
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