文件名称:fastslam_web
介绍说明－－下载内容均来自于网络，请自行研究使用
FastSLAM1.0/2.0的仿真，在matlab环境下实现。对研究移动机器人同时定位与建图的研究者是非常不错的参考。-FastSLAM1.0/2.0 the simulation environment in Matlab under. Mobile robots to research the same time positioning and building plans of researchers is a very good reference.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
fastslam_web
............\add_control_noise.m
............\add_feature.m
............\add_observation_noise.m
............\compute_jacobians.m
............\compute_steering.m
............\configfile.m
............\data_associate_known.m
............\example_densermap.mat
............\example_webmap.mat
............\fastslam1
............\.........\compute_weight.m
............\.........\fastslam1_sim.m
............\.........\predict.m
............\fastslam2
............\.........\compute_weight.m
............\.........\fastslam2_sim.m
............\.........\observe_heading.m
............\.........\predict.m
............\.........\proposal.mws
............\.........\sample_proposal.m
............\fast_to_ekf_diag.m
............\feature_update.m
............\frontend.fig
............\frontend.m
............\get_observations.m
............\KF_cholesky_update.m
............\KF_joseph_update.m
............\line_plot_conversion.m
............\multivariate_gauss.m
............\pi_to_pi.m
............\predict_true.m
............\resample_particles.m
............\sqrtm_2by2.m
............\stratified_random.m
............\stratified_resample.m
............\TransformToGlobal.m
readme.txt
............\add_control_noise.m
............\add_feature.m
............\add_observation_noise.m
............\compute_jacobians.m
............\compute_steering.m
............\configfile.m
............\data_associate_known.m
............\example_densermap.mat
............\example_webmap.mat
............\fastslam1
............\.........\compute_weight.m
............\.........\fastslam1_sim.m
............\.........\predict.m
............\fastslam2
............\.........\compute_weight.m
............\.........\fastslam2_sim.m
............\.........\observe_heading.m
............\.........\predict.m
............\.........\proposal.mws
............\.........\sample_proposal.m
............\fast_to_ekf_diag.m
............\feature_update.m
............\frontend.fig
............\frontend.m
............\get_observations.m
............\KF_cholesky_update.m
............\KF_joseph_update.m
............\line_plot_conversion.m
............\multivariate_gauss.m
............\pi_to_pi.m
............\predict_true.m
............\resample_particles.m
............\sqrtm_2by2.m
............\stratified_random.m
............\stratified_resample.m
............\TransformToGlobal.m
readme.txt