文件名称:EKF-SLAM
介绍说明－－下载内容均来自于网络，请自行研究使用
机器人定位中的EKF-SLAM算法，用扩展卡尔曼滤波的方法实现同时定位和地图构建-Robot localization algorithm EKF-SLAM，Using extended Calman filter method to achieve the simultaneous localization and map building
(系统自动生成,下载前可以参看下载内容)
下载文件列表
ekfslam
.......\add_control_noise.m
.......\add_observation_noise.m
.......\augment.m
.......\augment_associate_known.m
.......\compute_steering.m
.......\configfile.m
.......\data_associate.m
.......\data_associate_known.m
.......\ekfslam_sim.m
.......\example_densemap.mat
.......\example_densermap.mat
.......\example_linemap.mat
.......\example_webmap.mat
.......\frontend.fig
.......\frontend.m
.......\get_observations.m
.......\KF_cholesky_update.m
.......\KF_IEKF_update.m
.......\KF_simple_update.m
.......\line_plot_conversion.m
.......\observe_heading.m
.......\observe_model.m
.......\pi_to_pi.m
.......\plot_feature_loci.m
.......\predict.m
.......\readme.txt
.......\sqrtm_2by2.m
.......\transformtoglobal.m
.......\update.m
.......\update_iekf.m
.......\vehicle_model.m
.......\add_control_noise.m
.......\add_observation_noise.m
.......\augment.m
.......\augment_associate_known.m
.......\compute_steering.m
.......\configfile.m
.......\data_associate.m
.......\data_associate_known.m
.......\ekfslam_sim.m
.......\example_densemap.mat
.......\example_densermap.mat
.......\example_linemap.mat
.......\example_webmap.mat
.......\frontend.fig
.......\frontend.m
.......\get_observations.m
.......\KF_cholesky_update.m
.......\KF_IEKF_update.m
.......\KF_simple_update.m
.......\line_plot_conversion.m
.......\observe_heading.m
.......\observe_model.m
.......\pi_to_pi.m
.......\plot_feature_loci.m
.......\predict.m
.......\readme.txt
.......\sqrtm_2by2.m
.......\transformtoglobal.m
.......\update.m
.......\update_iekf.m
.......\vehicle_model.m