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Slam
- 基于卡尔曼滤波的机器人定位及地图创建（salm），对1D、2D、3D等情况分别进行仿真-Kalman filter-based robot localization and map building (salm), on the 1D, 2D, 3D, etc. were simulated
kalman
- 实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法，文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。-a novel technique to align partial 3D reconstructions of the seabed acquired by a stereo camera mounted on an au
kalman
- kalman滤波器收到好的结果基于c++和opencv-Tracking of rotating point. Rotation speed is constant. Both state and measurements vectors are 1D (a point angle), Measurement is the real point angle+ gaussian noise. The real and the estimated points
Slam1D1
- 概率机器人基于卡尔曼滤波器实现实时定位和地图创建（SLAM）的算法，用matlab编写，涵盖了机器人一维场景。-mapping algorithm based on the Kalman filter. Robot work enviroment is 1D.
1D-standard-Kalman-Filter-(Simulink-model-and-pro
- 1D standard Kalman Filter (Simulink model and program
1d_Kalman
- 一维卡尔曼滤波示例程序，可直接在MATLAB中运行，注释丰富（电子科技大学学生作业）-1D Kalman filter sample program ，can be run directly