文件名称:mySLAMekfandfast
- 所属分类：
- 数值算法/人工智能
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 264kb
- 下载次数：
- 0次
- 提 供 者：
- Shao ******
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
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介绍说明－－下载内容均来自于网络，请自行研究使用
SLAM已在机器人及无人机中得到应用，本程序利用EKF、粒子滤波实现SLAM，供学习使用。-SLAM has been applied in robots and unmanned aerial vehicles, this program contains EKF and particle filtering for SLAM.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
mySLAMekfandfast
................\ekfslam_v1.0
................\............\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
................\............\ekfslam_v1.0.zip
................\............\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
................\............\TransformToGlobal.m
................\............\update.m
................\............\update_iekf.m
................\............\vehicle_model.m
................\ekfslam_v2.0
................\............\add_control_noise.asv
................\............\add_control_noise.m
................\............\add_observation_noise.asv
................\............\add_observation_noise.m
................\............\augment.m
................\............\augment_associate_known.m
................\............\compute_steering.m
................\............\configfile.m
................\............\data_associate.m
................\............\data_associate_known.m
................\............\ekfslam_sim.asv
................\............\ekfslam_sim.m
................\............\ekfslam_v2.0.zip
................\............\example_densemap.mat
................\............\example_linemap.mat
................\............\exe1.mat
................\............\exe2.mat
................\............\exe3.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
................\fastslam
................\........\add_control_noise.m
................\........\add_feature.m
................\........\add_observation_noise.m
................\........\compute_jacobians.m
................\........\compute_steering.m
................\........\configfile.m
................\........\data_associate_known.m
................\........\example_webmap.mat
................\........\fastslam.zip
................\........\fastslam1
................\........\.........\compute_weight.m
................\........\.........\fastslam1_sim.m
................\........\.........\predict.m
................\........\fastslam2
................\........\fastslam2r
................\........\..........\compute_weightr.m
................\........\..........\fastslam2r_sim.m
................\........\..........\observe_heading.m
................\........\..........\predict.m
................\........\..........\readme.txt
................\........\..........\sample_proposal.m
................\........\....