[1]
L. J. Zhao. Study on Mobile Localization for Indoor Service Robots[D], Harbin Institute of Technology, 2009: 1-7.
Google Scholar
[2]
R. H. Qiu, J. Fang, M. H. Tang, et al. Building up an Integrated Experimental Platform and Cultivating Students' Innovation Ability[J]. Research and Exploration in Laboratory. 2006. 02: 141-144.
Google Scholar
[3]
C. P. Connette, A. Pott, M. Hagele, et al. Control of an seudo-omnidirectional, Non-holonomic, Mobile Robot based on an ICM Representation in Spherical Coordinates. Proceedings of the IEEE Conference on Decision and Control Cancun. 2008: 4976~4983.
DOI: 10.1109/cdc.2008.4738958
Google Scholar
[4]
S. Thrun. A probabilistic approach to con current mapping and localization for mobile robotics. Machine Learning 2000, 31(5): 1-25.
Google Scholar
[5]
S. L. Sun, Z. L. Deng. Multi-Sensor Information Fusion Kalman Filter Weighted by Scalars for Systems with Colored Measurement Noises. Journal of Dynamic Systems, Measurement, and Control 2005, 127(4): 663-667.
DOI: 10.1115/1.2101844
Google Scholar
[6]
K. D. Sommer, O. Kühn, F. P. León, et al. A Bayesian approach to information fusion for evaluating the measurement uncertainty. Robotics and autonomous systems 2009, 57: 339-344.
DOI: 10.1016/j.robot.2008.10.011
Google Scholar
[7]
O. Parsons, G. A. Carpenter. ARTMAP neural networks for information fusion and data mining: map production and target recognition methodologies. Neural Networks 2003, 16(7): 1075-1089.
DOI: 10.1016/s0893-6080(03)00007-8
Google Scholar
[8]
J. C. Augusto, J. Liu, P. McCullagh, et al. Management of uncertainty and spatio-temporal aspects for monitoring and diagnosis in a smart home. International Journal of Computational Intelligence Systems 2008, 1(4): 361-378.
DOI: 10.1080/18756891.2008.9727632
Google Scholar
[9]
Z. J. Zhou, C. H. Hu, D. L. Xu, et al. New model for system behaviour prediction based on belief-rule-based systems. Information Sciences 2010, 180: 4834-4864.
DOI: 10.1016/j.ins.2010.08.016
Google Scholar
[10]
C. Goerzen, Z. Kong, B. Mettler. A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance. Journal of Intelligent & Robotic Systems 2010, 57(1-4): 65-100.
DOI: 10.1007/s10846-009-9383-1
Google Scholar