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Description: 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.
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Size: 1872 |
Author: 中华 |
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Description: Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human
Motion Tracking
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Size: 208545 |
Author: ajie |
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Description: 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.
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Size: 2048 |
Author: 中华 |
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Description: 本文以Pioneer3一AT型室外轮式移动机器人为平台，利用卡尔曼滤波融合多传感器的测量数据，并将鲁棒控制原理用上移动机器人的定位上。-In this paper, type AT 1 Pioneer3 outdoor wheeled mobile robot as a platform, the use of Kalman filter integration of multi-sensor measurement data, and the principle of the use of robust control of mobile robot positioning.
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Size: 228352 |
Author: 文雨子 |
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Description: Real-Time Facial Feature Point Extraction-Localization of facial feature points is an important step for many subsequent facial image analysis tasks. In this paper, we proposed a new coarse-to-fine method for extracting 20 facial feature points from image sequences. In particular, the Viola-Jones face detection method is extended to detect small-scale facial components with wide shape variations, and linear Kalman filters are used to smoothly track the feature points by handling detection errors and head rotations. The proposed method achieved higher than 90 detection rate when tested on the BioID face database and the FG-NET facial expression database. Moreover, our method shows robust performance against the variation of face resolutions and facial expressions.
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Size: 871424 |
Author: Ng Jack |
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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.
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Size: 274432 |
Author: Li Yanli |
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Description: 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
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Size: 124928 |
Author: zhoufeng |
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Description: 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. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both. -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. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.
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Size: 80896 |
Author: mohammed fadhle |
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Description: robust kalman filter
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Size: 1024 |
Author: aa |
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Description: (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 platforms.
This paper presents a complete mechatronic design process
of a quadrotor UAV, including mechanical design, modeling
of quadrotor and actuator dynamics and attitude stabilization
control. Robust attitude estimation is achieved by fusion of lowcost
MEMS accelerometer and gyroscope signals with a Kalman
filter. Experiments with a gimbal mounted quadrotor testbed
allow a quantitative analysis and comparision of the PID and
Integral-Backstepping (IB) controller design for attitude stabilization
with respect to reference signal tracking, disturbance
rejection and robustness.
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Size: 644096 |
Author: chanqua |
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Description: 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
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Size: 339968 |
Author: zha |
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Description: 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. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results.
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Size: 3176448 |
Author: luaw2006 |
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Description: 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 nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results.
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Size: 3177472 |
Author: anna |
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Description: 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.
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Size: 2048 |
Author: 许博 |
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Description: 离散系统的鲁棒卡尔曼滤波新方法_张勇.zip-Robust Kalman filter of discrete systems new method _ Zhang Yong. Zip
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Size: 430080 |
Author: Can |
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Description: 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.
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Size: 1024 |
Author: 李干 |
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Description: 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 estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions-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 estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions
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Size: 571392 |
Author: axel |
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Description: 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 estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions-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 estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions
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Size: 652288 |
Author: axel |
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Description: 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)
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Size: 16384 |
Author: NLiu
|
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Description: 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 Gaussian distribution data generation function is also included in the main function.)
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Size: 585728 |
Author: 殷利建 |
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