Monte Carlo localization for mobile robots
暂无分享,去创建一个
Wolfram Burgard | Frank Dellaert | Sebastian Thrun | Dieter Fox | D. Fox | S. Thrun | W. Burgard | F. Dellaert | Wolfram Burgard
[1] R. S. Bucy,et al. Bayes Theorem and Digital Realizations for Non-Linear Filters , 1969 .
[2] J. E. Handschin. Monte Carlo techniques for prediction and filtering of non-linear stochastic processes , 1970 .
[3] John J. Leonard,et al. Directed Sonar Sensing for Mobile Robot Navigation , 1992 .
[4] Alan E. Gelfand,et al. Bayesian statistics without tears: A sampling-resampling perspective , 1992 .
[5] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[6] Bernt Schiele,et al. A comparison of position estimation techniques using occupancy grids , 1994, Robotics Auton. Syst..
[7] Bernt Schiele,et al. A comparison of position estimation techniques using occupancy grids , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[8] Reid G. Simmons,et al. Probabilistic Robot Navigation in Partially Observable Environments , 1995, IJCAI.
[9] Illah R. Nourbakhsh,et al. DERVISH - An Office-Navigating Robot , 1995, AI Mag..
[10] G. Kitagawa. Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models , 1996 .
[11] Wolfram Burgard,et al. Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids , 1996, AAAI/IAAI, Vol. 2.
[12] Michael Isard,et al. Contour Tracking by Stochastic Propagation of Conditional Density , 1996, ECCV.
[13] Leslie Pack Kaelbling,et al. Acting under uncertainty: discrete Bayesian models for mobile-robot navigation , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.
[14] J.-S. Gutmann,et al. AMOS: comparison of scan matching approaches for self-localization in indoor environments , 1996, Proceedings of the First Euromicro Workshop on Advanced Mobile Robots (EUROBOT '96).
[15] Simon J. Godsill,et al. On sequential simulation-based methods for Bayesian filtering , 1998 .
[16] Michael Isard,et al. A mixed-state condensation tracker with automatic model-switching , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[17] Wolfram Burgard,et al. An experimental comparison of localization methods , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).
[18] Wolfram Burgard,et al. Integrating global position estimation and position tracking for mobile robots: the dynamic Markov localization approach , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).
[19] M. Pitt,et al. Filtering via Simulation: Auxiliary Particle Filters , 1999 .
[20] P. Fearnhead,et al. An improved particle filter for non-linear problems , 1999 .