Non-Gaussian State Estimation in an Outdoor Decentralised Sensor Network
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Hugh F. Durrant-Whyte | Fabio Tozeto Ramos | Tim Bailey | Tobias Kaupp | Ben Upcroft | Salah Sukkarieh | Lee-Ling S. Ong | Suresh Kumar | Bertrand Douillard | Matthew Ridley
[1] A.S. Willsky,et al. Nonparametric belief propagation for self-calibration in sensor networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.
[2] Sumit Roy,et al. Decentralized structures for parallel Kalman filtering , 1988 .
[3] Lawrence D. Stone,et al. Bayesian Multiple Target Tracking , 1999 .
[4] Antonio Torralba,et al. Contextual Models for Object Detection Using Boosted Random Fields , 2004, NIPS.
[5] Yakov Bar-Shalom,et al. Multitarget-Multisensor Tracking: Principles and Techniques , 1995 .
[6] R. Muirhead. Aspects of Multivariate Statistical Theory , 1982, Wiley Series in Probability and Statistics.
[7] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[8] Stefan B. Williams,et al. A decentralized architecture for Active Sensor Networks , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[9] Alexei Makarenko,et al. Hierarchical Environment Model for Fusing Information from Human Operators and Robots , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[10] Hugh F. Durrant-Whyte,et al. Closed form solutions to the multiple-platform simultaneous localization and map building (SLAM) problem , 2000, SPIE Defense + Commercial Sensing.
[11] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[12] Hugh Durrant-Whyte,et al. Data Fusion and Sensor Management: A Decentralized Information-Theoretic Approach , 1995 .
[13] Antonio Torralba,et al. Context-based vision system for place and object recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[14] H. Durrant-Whyte,et al. Rich probabilistic representations for bearing only decentralised data fusion , 2005, 2005 7th International Conference on Information Fusion.
[15] Geoffrey E. Hinton,et al. The EM algorithm for mixtures of factor analyzers , 1996 .
[16] Jeffrey K. Uhlmann,et al. A non-divergent estimation algorithm in the presence of unknown correlations , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).
[17] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[18] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[19] Carlos Guestrin,et al. Robust Probabilistic Inference in Distributed Systems , 2004, UAI.
[20] L. Saul,et al. Think globally, fit locally: unsupervised l earning of non-linear manifolds , 2002 .
[21] H. Sorenson,et al. Recursive bayesian estimation using gaussian sums , 1971 .
[22] Alan S. Willsky,et al. Mobile agents in adaptive hierarchical Bayesian networks for global awareness , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).
[23] Ben Upcroft,et al. Representing natural objects in unstructured environments , 2005, NIPS 2005.
[24] David G. Stork,et al. Pattern Classification , 1973 .
[25] Dorin Comaniciu,et al. Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[26] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[27] Alexei Makarenko,et al. Operators as information sources in sensor networks , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[28] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[29] Yaakov Bar-Shalom,et al. Multitarget-multisensor tracking: Advanced applications , 1989 .
[30] H. Sorenson,et al. Nonlinear Bayesian estimation using Gaussian sum approximations , 1972 .
[31] Mark S. Nixon,et al. Feature Extraction and Image Processing , 2002 .
[32] Sebastian Thrun,et al. Decentralized Sensor Fusion with Distributed Particle Filters , 2002, UAI.
[33] J. Bather,et al. Mixture Reduction Algorithms for Uncertain Tracking , 1988 .
[34] Hugh Durrant-Whyte,et al. Communication In General Decentralised Filters And The Coordinated Search Strategy , 2004 .
[35] Miles C. Walton,et al. Collaborative Tools for Mixed Teams of Humans and Robots , 2003 .
[36] Alexei Makarenko,et al. Implementation of an Indoor Active Sensor Network , 2004, ISER.
[37] D. Alspach. A gaussian sum approach to the multi-target identification-tracking problem , 1975, Autom..
[38] Jan Nunnink,et al. A MAS approach to fusion of heterogeneous information , 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).
[39] H. Nii. Blackboard Systems , 1998 .