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[Other resourcekalman-1.3

Description: 实现扩展Kalman滤波的源程序,有例子,是学习Kalman滤波的好帮手!
Platform: | Size: 801978 | Author: 阿商 | Hits:

[Mathimatics-Numerical algorithms扩展KALMAN滤波算法

Description: 扩展KALMAN滤波算法MATLAB 原代码
Platform: | Size: 1506 | Author: simulation2008 | Hits:

[Data structs扩展kalman

Description:

扩展kalman算法,是一种常用的算法,希望对大家有用


Platform: | Size: 138205 | Author: cuityang | Hits:

[matlab扩展Kalman滤波(UKF)算法的Matlab程序

Description: 扩展Kalman滤波器算法的例程,可以用于对非线性系统的目标状态进行动态估计。例如曲线运动目标的轨迹跟踪。
Platform: | Size: 3282 | Author: lag209@sina.com | Hits:

[Windows Develop扩展卡尔曼滤波器matlab程序

Description: matlab的扩展卡尔曼滤波器程序
Platform: | Size: 1690 | Author: ghthu_87 | Hits:

[matlabekf_example

Description: 本程序是用matlab开发的扩展Kalman Filter-this procedure is used Matlab development of the extended Kalman Filter
Platform: | Size: 1024 | Author: sun | Hits:

[matlabEEkalman

Description: 扩展kalman滤波程序,无须解压,经过调试-extended Kalman filtering process, not unpacked, after debugging
Platform: | Size: 2048 | Author: 王大为 | Hits:

[Applicationsextend_kalman

Description: 扩展KALMAN滤波方面的应用,应用于系统跟踪等方面的问题-extended Kalman filter on the application, application tracking systems and other issues
Platform: | Size: 1024 | Author: zhang | Hits:

[OtherDualstimation

Description: 一片介绍双估计的很好的文章。同时估计动态系统的状态和模型参数,使用扩展kalman filter和ukf方法,很有参考价值-Introduce a dual-estimated good article. At the same time, the estimated dynamic system state and model parameters, the use of extended kalman filter and UKF methods, useful reference
Platform: | Size: 280576 | Author: lyh | Hits:

[Documentskalman_intro_chinese

Description: 有关kalman滤波以及扩展kalman滤波的详细中文解释-Related kalman filter kalman filtering, as well as the expansion of the Chinese to explain the detailed
Platform: | Size: 409600 | Author: 公孙致远 | Hits:

[OtherExtendedandSigmaPointKalmanFitersforTightlyCoupled

Description: 详细介绍了GPSINS整合中基于扩展Kalman滤波的整合方法-Detailed integration GPSINS extended Kalman filter-based integration methods
Platform: | Size: 825344 | Author: 李冠中 | Hits:

[Otherkalmanfilter

Description: 卡尔曼滤波器 2.2 由因果IIR维纳滤波器看卡尔曼滤波器 2.3 从bayes滤波角度看卡尔曼滤波器 2.4 卡尔曼滤波器的扩展 -Kalman Filter 2.2 by causal IIR Wiener filter to see Kalman Filter 2.3 from the perspective of Bayes filter Kalman filter Kalman filter extension of 2.4
Platform: | Size: 208896 | Author: 何宇翔 | Hits:

[Otherekf

Description: 三维目标跟踪,采用扩展KALMAN滤波~效果还算不错。-Three-dimensional target tracking using extended Kalman filter ~ bad effects.
Platform: | Size: 2048 | Author: sunqiang | Hits:

[Software EngineeringEKF

Description: 扩展kalman滤波 matlab实现
Platform: | Size: 4096 | Author: 随预交 | Hits:

[AlgorithmEKF

Description: 扩展kalman 滤波的Matlab学习程序,特点是简单,能够设置输入参数,直观理解算法原理.-Matlab extended kalman filter learning process, is characterized by simple, to set the input parameters, intuitive understanding algorithm.
Platform: | Size: 1024 | Author: 郭春生 | Hits:

[Algorithmkalman-1.3

Description: 实现扩展Kalman滤波的源程序,有例子,是学习Kalman滤波的好帮手!-Kalman filter to achieve the expansion of the source code, there are examples of Kalman filter to learn a good helper!
Platform: | Size: 801792 | Author: 阿商 | Hits:

[matlabekf

Description: 这是个扩展kalman滤波的历程,对初学最优估计饿人应该很有帮助。-This is a course of extended kalman filtering, optimal estimation of beginner hungry people should be helpful.
Platform: | Size: 15360 | Author: | Hits:

[matlabEKF_PF

Description: EKF_PF 基于扩展kalman的粒子滤波 可解决非线性状态估计问题-EKF_PF based on extended kalman particle filter to address the issue of non-linear state estimation
Platform: | Size: 5120 | Author: fortune | Hits:

[matlabekf

Description: EKF滤波 扩展kalman 滤波的matlab学习程序,特点是简单,能够设置输入参数,直观理解算法原理. -EKF extended kalman filter matlab filter learning process, is characterized by simple, to set the input parameters, intuitive understanding algorithm.
Platform: | Size: 8192 | Author: lulu | Hits:

[Special Effectskalman

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 | Hits:
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