采用fastslam对slam算法进行改进。
资源文件列表
predict_true.m , 172
resample_particles.m , 546
sqrtm_2by2.m , 757
stratified_random.m , 337
stratified_resample.m , 567
TransformToGlobal.m , 433
readme.txt , 913
fastslam1/compute_weight.m , 295
fastslam1/fastslam1_sim.m , 5796
fastslam1/predict.m , 359
fastslam2/compute_weight.m , 120
fastslam2/fastslam2_sim.m , 6479
fastslam2/gauss_evaluate.m , 1134
fastslam2/observe_heading.m , 323
fastslam2/predict.m , 981
fastslam2/proposal.mws , 11047
fastslam2/sample_proposal.m , 1490
fastslam2r/compute_weightr.m , 580
fastslam2r/fastslam2r_sim.m , 6737
fastslam2r/observe_heading.m , 323
fastslam2r/predict.m , 981
fastslam2r/readme.txt , 204
fastslam2r/sample_proposal.m , 739
example_webmap.mat , 1072
frontend.fig , 54416
add_control_noise.m , 321
add_feature.m , 483
add_observation_noise.m , 289
compute_jacobians.m , 660
compute_steering.m , 977
configfile.m , 1571
data_associate_known.m , 486
fast_to_ekf_diag.m , 1093
feature_update.m , 667
frontend.m , 5629
get_observations.m , 1025
KF_cholesky_update.m , 611
KF_joseph_update.m , 621
line_plot_conversion.m , 827
multivariate_gauss.m , 388
pi_to_pi.m , 577