Description: 几个很有用的在1D，2D，3D上的卡尔曼滤波器的MATLAB实现。可以供初学者学习！-Several very useful in 1D, 2D, 3D Kalman filter on the MATLAB implementation. Can be used for beginners to learn! Platform: |
Size: 34816 |
Author:vivi |
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Description: 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 autonomous underwater vehicle. Vehicle
localization and seabed mapping is performed simultaneously
by means of an Extended Kalman Filter. Passive landmarks
are detected on the images and characterized considering 2D
and 3D features. Landmarks are re-observed while the robot
is navigating and data association becomes easier but robust.
Once the survey is completed, vehicle trajectory is smoothed by
a Rauch-Tung-Striebel filter obtaining an even better alignment
of the 3D views and yet a large-scale acquisition of the seabed. Platform: |
Size: 274432 |
Author:Li Yanli |
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Description: 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 Platform: |
Size: 34816 |
Author:姜虎 |
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Description: 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 are connected with yellow line segment,
the real and the measured points are connected with red line segment.
(if Kalman filter works correctly,
the yellow segment should be shorter than the red one).
Pressing any key (except ESC) will reset the tracking with a different speed.
Pressing ESC will stop the program. Platform: |
Size: 6144 |
Author:tbc |
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Description: 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. Platform: |
Size: 1024 |
Author:安娟 |
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Search - kalman filter 1D