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Description: 开源卡尔曼滤波器,带说明文档,例子.
提供了很多命令.可以入门学习,也可直接用-Kalman filter open source with documentation, examples. To provide a lot of orders. Can be entry-learning can also be directly
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Description: MIT公开课程,包括麻省理工算法课程的教师用书(包含习题答案!!!!!!!!),作业(含答案),演讲幻灯片,考试卷(含答案)。-MIT open courses, including courses for teachers Massachusetts algorithm books (including exercise answers !!!!!!!!), operations (including answers), lecture slides, examination papers (with answers).
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Author: Senry |
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Description: TrackIT是一款开放式的机器视觉开发平台,目前集成了从相机输入、色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、Blob检测、相机标定、Kalman滤波器、光流跟踪器、最近邻域跟踪、数学形态学方法、机器学习算法等近100个组件,并在不断添加更新中,采用开源OpenCV、WxWidgets、CMU139等标准工具,使用XML动态解析界面,所有参数在界面上直接调整,同时可立即看到调整效果,并可动态加载组件,可用于一般科学研究和机器视觉系统开发。运行时需要.net框架支持。-TrackIT is an open development platform for machine vision, now integrated input from a camera, color conversion, color image processing, gray-scale image processing, binary image processing, threshold segmentation, edge detection, Blob detection, camera calibration, Kalman filter, optical flow tracker, nearest neighbor tracking, mathematical morphology, machine learning algorithms nearly 100 components, and continually add updates, using open source OpenCV, WxWidgets, CMU139 and other standard tools, using XML dynamically analysis interface, all parameters in the interface directly on the adjustment, while adjustments immediately see results, and can dynamically load the components, can be used for general scientific research and machine vision system development. Run-time needs. Net framework support.
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Author: 黄设 |
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Description: tracking face, using open cv and kalman filter
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Author: rachid |
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Description: 通过卡尔曼滤波并采用开环控制方式实现惯性导航和GPS的数据融合-Through the Kalman filter and use the open-loop control method to achieve inertial navigation and GPS, data fusion
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Author: dj |
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Description: opencv中的kalman滤波器程序,
/ Use Kalman Filter to model particle in circular trajectory
//
#include <cv.h>
#include <highgui.h>
//#include <cvx_defs.h>-opencv kalman filter process in,/Use Kalman Filter to model particle in circular trajectory//# include <cv.h># Include <highgui.h>//# Include <cvx_defs.h>
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Author: jad |
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Description: 通过对kalman滤波进行部分修改完成对人手的跟踪处理 效果良好 使用开源OPENCV函数库-Kalman filtering through the completion of a partial modification of the staff to track good treatment effect library using open source OPENCV
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Author: 谢彧 |
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Description: JKalman是一个开源的Java执行卡尔曼滤波。卡尔曼滤波器是一个有效率的计算(递归)工具来估计过程的动态状态中的一种方式,最大限度地减少了错误。
-JKalman is an Open Source Java implementation of Kalman filter. Kalman filter is an efficient computational (recursive) tool to estimate the dynamic state of a process in a way that minimizes the mean of error.
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Author: 李明 |
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Description: 一个开放源码的基于Java库的目标跟踪评价工具。目前包含11种不同的顺序,如滤波器,卡尔曼,颗粒,H无穷,相互作用多模型(IMM)的,及其他。
-An open source Java based library for target tracking evaluation tools. Currently contains 11 different sequential filters, such as Kalman, particle, H infinity, interacting multiple model (IMM), and others.
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Author: 李明 |
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Description: 卡尔曼滤波器实现的开源程序,用c++和m语言写的,可以作为参考。-Kalman filter implementation, open source abroad, and m with c++ language, and can be used as reference.
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Author: paraqy |
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Description: The open source project DSP_INS is an inertial navigation system on the TI DSP
platform TMS320F28335 with MEMS inertial sensors and commercial GPS module. Inertial
sensors are actually used only for estimating attitude, heading and velocity.
Position information totally comes from GPS (see Q2 in FAQ part). Currently the
MEMS IMU (Inertial Measurement Unit) ADIS16355 and GPS module u-blox LEA-5H
are supported. DSP_INS also reads magnetic field data from HONEYWELL HMC1051/1052.
You can also use the latest IMU module ADIS16405, which also contains magnetic field
sensors.
There is a 10-order extended Kalman filter in DSP_INS, which takes angular velocity,
acceleration, magnetic field, and GPS velocity as inputs. It provides outputs
including angular velocity, acceleration, attitude, heading, velocity, and position
(from GPS) every 10 milliseconds. DSP_INS is proved to be effective and reliable in
several robot and UAV projects.
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Author: snthej |
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Description: 开源飞控程序,使用了神经网络pid控制,基于四元数的卡尔曼滤波,带地面站-open source flight control program use neural network pid control, based on quaternion based kalman filter. togather with the groudstation
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Author: yuyun |
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Description: 四元数的仿真程序还有加有卡尔曼滤波器的开环校正的程序。-Quaternion simulation program plus a Kalman filter is also open-loop correction procedures.
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Size: 2048 |
Author: 张亮 |
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Description: 扩展卡尔曼滤波算法,运行打开主程序后直接运行-Extended Kalman filter algorithm can be run directly run to open the main program
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Author: 王伟 |
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Description: 卡尔曼滤波器,通过开源平台opencv,可根据需要自己调整参数-Kalman filter, through the open-source platform opencv, parameters can be adjusted according to the needs of their own
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Description: OPEN CVKALMAN滤波,对跟踪特别有效,希望对做目标跟踪的朋友有帮助-OPEN CVKALMAN filtering, tracking is particularly effective, we want to do to help a friend tracking
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Size: 1024 |
Author: chengguoshou |
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Description: 基于状态方程的kalman滤波程序,连续系统模型-kalman filter based on Ricatti equation
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Author: 陶松兵 |
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Description: 匿名四轴飞控的开源代码。包含PID算法,卡尔曼滤波。-Anonymous four axes flight control of open source code. Contains the PID algorithm, and kalman filter.
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Author: 毕嘉诚 |
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Description: SOC估计是电动汽车电池管理系统的重要功能。研究人员为了提高电动汽车电池SOC估计的准确性做了大量研究工作,采用的主要方法有:放电实验法、Ah计量法、开路电压法、负载电压法、内阻法、线性模型法、神经网络法和卡尔曼滤
波法。讨论了电池SOC定义;介绍了各种SOC估计方法的原理及应用中存在的优缺点;分析了充放电倍率、温度、自放电、老化等因素对SOC的影响;评价了各种SOC估计方法。(SOC estimation was all important function of electric vehicle battery management system. Researchers had done much work to improve SOC estimation accuracy. Discharge test, ampere hour measurement, open circuit voltage, constant current voltage, internal resistance, linear model, neural network and Kalman fiher were taken out. Definition of SOC was discussed, principies of these methods for SOC estimation were intreduced, advantages and disadvantages of these methods during applications were given, factors which influenced SOC estimation, such as charge-discharge rate, temperature, self discharge and aging were analyzed, and these methods were valued.)
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Author: drfang07
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Description: Opencv 3 中的kalmanFilter C++(Open cv 3 kalmanFilter C++)
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Author: XINGXING2017
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