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EKF_stereo_surf
- localization of mobile robot by using Ekf
mcl
- 详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This article presents a family of probabilistic lo
SSS06.Prac3.InformationFilter.tar
- 这是移动机器人同时定位与地图创建的第三部分，主要是关于信息滤波器的（Information filter）-This is a mobile robot localization and mapping at the same time to create the third part, focusing on the information filter (Information filter)
EKFSLAM
- 采用EKF实现移动机器人在全局地图中的自定位-EKF used for mobile robot self-localization
Grey_predition_algorithm_for_mobile_user_localizat
- this algorithm predicts the received signal strength for the mobile user to avoid fluctuation in received signal strength during localization of the mobile user(finding mobile user s location)
MATLAB-based_simulators_for_mobile_robot_Simultane
- MATLAB-based simulators for mobile robot Simultaneous Localization and Mapping
Mobile_user_localization
- Mobile User Localization
LocalizationProject
- 使用EKF和粒子滤波在简单的平台上实现定位，是本人在华盛顿大学机器人课程作业的基础上编写完成的，可以作为滤波和移动机器人定位的基础教程使用。 Author：Wilford Wang PS. 可以先下载本人之前上传的Project-1.rar(华盛顿大学的课题作业)，自行编写，再与我写的程序做比较，可以达到比较好的学习效果。-Using the EKF and particle filter in a simple platform for location, is my course w
SimpleLocalization22
- Matlab code for Localization for single mobile attack on wireless network.
radar2
- Static localization of mobile target using matlab
imp3
- localization for mobile using matlab