Observation model for Monte Carlo Localization

作者: George Nikolakopoulos , Anas Alhashimi , Thomas Gustafsson

DOI:

关键词: Dynamic Monte Carlo methodKinetic Monte CarloComputer scienceMonte Carlo method in statistical physicsMonte Carlo molecular modelingStatistical physicsMonte Carlo localizationHybrid Monte Carlo

摘要:

参考文章(3)
P. Pfaff, C. Stachniss, C. Plagemann, W. Burgard, Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures intelligent robots and systems. pp. 3539- 3544 ,(2008) , 10.1109/IROS.2008.4650711
Sebastian Thrun, Dieter Fox, Wolfram Burgard, Frank Dellaert, Robust Monte Carlo localization for mobile robots Artificial Intelligence. ,vol. 128, pp. 99- 141 ,(2001) , 10.1016/S0004-3702(01)00069-8
S. Lenser, M. Veloso, Sensor resetting localization for poorly modelled mobile robots international conference on robotics and automation. ,vol. 2, pp. 1225- 1232 ,(2000) , 10.1109/ROBOT.2000.844766