Description: 卡尔曼滤波C程序 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。
对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，
传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，
例如头脸识别，图像分割，图像边缘检测等等。-Kalman filtering C program Kalman filter is an "optimal recursive da ta processing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
Size: 966 |
Author:于军相 |
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Description: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。
对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，
传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，
例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an "optimal recursive data proces sing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
Size: 1149 |
Author:于军相 |
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Description: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。
对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，
传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，
例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an "optimal recursive data proces sing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
Size: 916 |
Author:于军相 |
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Description: 卡尔曼滤波C程序 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。
对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，
传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，
例如头脸识别，图像分割，图像边缘检测等等。-Kalman filtering C program Kalman filter is an "optimal recursive da ta processing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
Size: 1024 |
Author:于军相 |
Hits:
Description: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。
对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，
传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，
例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an "optimal recursive data proces sing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
Size: 1024 |
Author:于军相 |
Hits:
Description: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。
对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，
传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，
例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an "optimal recursive data proces sing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
Size: 1024 |
Author:于军相 |
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Description: 基于无味卡尔曼滤波的多传感器数据融合，采用UK方法进行采样，获得系统中未知参数的辨识。-Unscented Kalman filter based on the multi-sensor data fusion, using UK methods of sampling, access to the system to identify the unknown parameters. Platform: |
Size: 99328 |
Author:cai |
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Description: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an " optimal recursive data processing algorithm (optimal autoregressive data-processing algorithm)." To address the very most of the questions, he is the best, most efficient, if not the most useful. He has been widely used for more than 30 years, including robot navigation, control, sensor data fusion and even in military radar systems and missile tracking and so on. Recent years been applied to computer image processing, such as头脸recognition, image segmentation, image edge detection and so on. Platform: |
Size: 570368 |
Author:曲晓川 |
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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. Platform: |
Size: 644096 |
Author:chanqua |
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Description: 卡尔曼滤波C程序源码 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决非常大部分的问题，他是最优，效率率最高甚甚至是最有用的。他的广泛应用已经超过30年，包含机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统和导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。
-C program source code of Kalman filter Kalman filter is an optimal recursive data processing algorithm (optimized the the autoregressive data processing algorithm) " . To solve the very most of the problems, he is the best, the efficiency of the highest rates of very even be the most useful. He' s widely used for more than 30 years, including robot navigation and control, and sensor data fusion even in the military radar system and missile tracking. In recent years, used in computer image processing, such as the head and face recognition, image segmentation, image edge detection. Platform: |
Size: 1024 |
Author:xinlnix |
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Description: This paper presents an adaptive information fusion method to improve the
accuracy and reliability of the altitude measurement information for small unmanned aerial
rotorcraft during the landing process. Focusing on the low measurement performance of
sensors mounted on small unmanned aerial rotorcraft, a wavelet filter is applied as a
pre-filter to attenuate the high frequency noises in the sensor output. Furthermore, to
improve altitude information, an adaptive extended Kalman filter based on a maximum a
posteriori criterion is proposed to estimate measurement noise covariance matrix in real
time. Finally, the effectiveness of the proposed method is proved by static tests, hovering
flight and autonomous landing flight tests. Platform: |
Size: 388096 |
Author:Clovis |
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Description: Altitude location for UAV by using federated filter
is discussed, the fourth structure is selected, because its two
sub-filters involving altitude sensor and the difference Global
Positioning System (d-GPS) respectively are fully isolated from
each other and thus make the federated filter more fault-tolerant
and better in real-time performance. Data fusion based on this
federated filter was simulated. When the d-GPS is working
normally and simulation results show that values estimated by
data fusion base on federated filter are very close to real values
and the variance of federated filter converges to 10m. When the
electromagnetic environment is very bad, as is usually the case in
war zone, the d-GPS is silent for a long time, variance based on
federated filter converges to 13m, bigger than the 10m.
Compared with previous paper variance based on Kalman
converges to 15m, higher than the 13m. Federated filter can give
much more accurate estimation than Kalman filter. Platform: |
Size: 328704 |
Author:Clovis |
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Description: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an " optimal recursive data processing algorithm (since the handover optimization of data processing algorithms)." For solving most of the problems is that he is the best, the highest efficiency even the most useful. He has been widely used for more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the missile tracking radar systems and so on. In recent years it has been used on computer image processing, such as head and face recognition, image segmentation, image edge detection and so on. Platform: |
Size: 8192 |
Author:马国豪 |
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Description: Headtracker using sensors: ADXL345 (acc), ITG3200 (gyro), HMC5843 (mag) with data fusion using an extended kalman filter on STM32F10x and data output via USB to PC. Code (sensor reading, filter) written by me. Validated on real hardware. Platform: |
Size: 36864 |
Author:onyx |
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Description: THE INFORMATION FUSION OF MULTISENSOR OF BASED ON FEDERATED KALMAN FILTER AND NEURAL NETWORKS Platform: |
Size: 321536 |
Author:Beihang |
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Description: 简单来说，卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-In simple terms, the Kalman filter is an optimal recursive data processing algorithm (optimization autoregression data processing algorithms). To solve a large part of the problem, he is the best, most efficient even be the most useful. His wide range of applications has more than 30 years, including robot navigation, control, sensor data fusion even in the military and missile tracking radar systems and so on. In recent years, even it has been used in computer image processing, such as head and face recognition, image segmentation, edge detection and so on. Platform: |
Size: 2048 |
Author:王庭辉 |
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Description: The necessary resort to multiple miniaturized low-cost
and low-performance sensors integrated into mini-RPAS,
which are obviously subjected to hard space requirements-Pi-Invariant Unscented Kalman Filter for Sensor Fusion Platform: |
Size: 669696 |
Author:贾云 |
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Description: 一个gps和ins组合导航的matlab程序-kalman-localization
Implementation of localization using sensor fusion of GPS/INS/compass through an error-state Kalman filter.
The MATLAB code borrows heavily Paul D. Groves book, Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, his MATLAB code is marked as his, and is held under the BSD license.
This code is very much a work-in-progress as I transition a MATLAB implementation to C++. Until the code is in a stable state, I will make changes based on my own needs, with complete disregard for backwards compatibility. If you liked it, then you shoulda used a fork on github. Following the initial development, I may make it more portable. Platform: |
Size: 26624 |
Author:geng |
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Search - kalman filter and fusion sensor