搜索资源列表
ad_kalmanf
- GPS导航中抗差自适应Kalman滤波算法,Matlab源代码。-GPS navigation robust adaptive Kalman filtering algorithms, source code Matlab.
icpr_2002
- Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
OSE_Code.rar
- 《Optimal State Estimation - Kalman, H Infinity, and Nonlinear Approaches》 一书的配套源码,包括了Kalman Filter、Hinf Filter、Particle Filter等的Matlab源码,《Optimal State Estimation- Kalman, H Infinity, and Nonlinear Approaches》source code,including Matlab code of Kalm
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
Robustkalman
- 关于双因子抗差Kalman滤波的程序,共同学习,共同交流-About two-factor robust Kalman filtering process, learn together and share their
mixture_of_gaussians
- Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. A
robust
- robust kalman filter
imustabilizer_090219
- (UAV) has grown rapidly over the past decade. UAV applications range from purely scientific over civil to military. Technical advances in sensor and signal processing technologies enable the design of light weight and economic airborne platform
qinghuaxuebang
- 一种对连续野值不敏感的鲁棒卡尔曼滤波器, 对清华学报上的一篇文章的仿真,能有效剔除连续型野值 -A field value is not sensitive to the continuous robust Kalman filter, for an article on the Tsinghua University policy, can effectively eliminate the value of continuous field
Meanshift
- 本系统为主动视觉跟踪系统,采用meanshift和kalman滤波相结合,能较好地在光线比较恒定的场景进行主动跟踪。-It is an active tracking system which is based on meanshift and kalman, it has a robust performance in steady environment
Kalman-Filtering-Theory-and-Practice
- 这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波,包括适应非线性滤波,更可靠的平滑方法,并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中,提供给读者的机会,发现如何卡尔曼滤波行动,并考虑实际运算需要保持结果的准确性。-This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering.
John-Wiley-a-Sons---Kalman-Filtering-Theory-And-P
- This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for n
kachakalman
- 抗差kalman滤波的matlab实现代码,自己编的,希望对大家有帮助。-Robust kalman filter matlab implementation code, their own series, we hope to help.
3
- 运动目标跟踪在工业过程控制、医学研究、成像制导等领域具有重要的实用价值。目前的研究多基于背景静止的情况,对背景发生移动的情况研究较少。提出了一套完整的移动背景下的目标跟踪算法,首先使用基于互信息的方法配准序列图像的背景。然后使用差分的方法进行运动区域检测,并将其与图像分割技术相结合,得到目标跟踪模板。目标的跟踪基于Kalman滤波的预测,其匹配过程仍基于互信息理论,实验结果证明:该算法具有较高的计算效率和准确性,应用前景广泛。-it is of important practical value
TestParticleFilter
- 粒子滤波器的C++版本代码。粒子滤波器是改进的卡尔曼滤波器,在目标跟踪领域运用非常广泛,对遮挡和尺度、光照等较鲁棒。-Particle filter C++ version of the code. Particle filter is improved Kalman filter, used in a very wide field of target tracking.It is robust to occlusion ,scale issue, illumination and so on
Kalman
- 改程序采用抗差kalman,利用自适应因子与等价权矩阵分别进行处理。-Reform program uses robust kalman, using adaptive factor and the equivalent weight matrix processed separately.
A-simple-and-robust-Speed-Tracking-Control-of-PMS
- This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estim
Extended-Kalman-Filter-Based-Speed
- This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estim
Robust
- 抗差Kalman滤波,抗差最小二乘等matlab源代码(Robust Kalman filtering, robust least squares matlab source code)
最大熵滤波算法matlab仿真
- 包含基于Huber函数和最大相关熵的抗差滤波算法,以及与卡尔曼滤波算法的对比,用于GNSS导航定位粗差处理。同时主函数中包含混合高斯随机数生成方法。(The Huber function and maximum correntropy criterion based robust Kalman filter is included, which can be used for biases in measurements for GNSS positioning. The mixed Gauss