Contextual occupancy maps using Gaussian processes
暂无分享,去创建一个
Hugh F. Durrant-Whyte | Fabio Tozeto Ramos | Simon Timothy O'Callaghan | H. Durrant-Whyte | F. Ramos | S. O'Callaghan
[1] Don Ray Murray,et al. Stereo vision based mapping and navigation for mobile robots , 1997, Proceedings of International Conference on Robotics and Automation.
[2] Mark J. Schervish,et al. Nonstationary Covariance Functions for Gaussian Process Regression , 2003, NIPS.
[3] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[4] Hans P. Moravec,et al. High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.
[5] Zoubin Ghahramani,et al. Sparse Gaussian Processes using Pseudo-inputs , 2005, NIPS.
[6] Kurt Hornik,et al. Some new results on neural network approximation , 1993, Neural Networks.
[7] Zhengyou Zhang,et al. Iterative point matching for registration of free-form curves and surfaces , 1994, International Journal of Computer Vision.
[8] Grace Wahba,et al. Spline Models for Observational Data , 1990 .
[9] Dieter Fox,et al. Gaussian Processes for Signal Strength-Based Location Estimation , 2006, Robotics: Science and Systems.
[10] Wolfram Burgard,et al. Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders , 2007, Robotics: Science and Systems.
[11] Yoram Koren,et al. The vector field histogram-fast obstacle avoidance for mobile robots , 1991, IEEE Trans. Robotics Autom..
[12] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[13] Hugh F. Durrant-Whyte,et al. An Evidential Approach to Probabilistic Map-Building , 1995, Reasoning with Uncertainty in Robotics.
[14] Sebastian Thrun,et al. Learning Occupancy Grid Maps with Forward Sensor Models , 2003, Auton. Robots.
[15] Wolfram Burgard,et al. Monocular range sensing: A non-parametric learning approach , 2008, 2008 IEEE International Conference on Robotics and Automation.
[16] 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.
[17] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[18] Sebastian Thrun,et al. Robotic Mapping with Polygonal Random Fields , 2005, UAI.
[19] Alberto Elfes,et al. Occupancy grids: a probabilistic framework for robot perception and navigation , 1989 .
[20] S. Thrun. Learning Occupancy Grids With Forward Sensor Models , 2002 .
[21] Kurt Konolige,et al. Improved Occupancy Grids for Map Building , 1997, Auton. Robots.
[22] P. Bartlett,et al. Probabilities for SV Machines , 2000 .
[23] David Kortenkamp,et al. Integrating high-speed obstacle avoidance, global path planning, and vision sensing on a mobile robot , 1998 .
[24] Hans P. Moravec. Sensor Fusion in Certainty Grids for Mobile Robots , 1988, AI Mag..
[25] Christopher K. I. Williams. Computation with Infinite Neural Networks , 1998, Neural Computation.
[26] Sebastian Thrun,et al. Learning Metric-Topological Maps for Indoor Mobile Robot Navigation , 1998, Artif. Intell..