搜索资源列表
Fifth_degree_CKF
- 高阶容积卡尔曼滤波程序，CKF，可用于滤波和跟踪-using high-degree Cubature Kalman filters
imm-ukf-filter
- 利用交互多模型无迹卡尔曼滤波算法实现机动目标跟踪。-Interacting multipl emodel Unscented kalman filter （IMM UKF)is presented to improve the performance of target tracking.
kalmanzuoye
- MATLAB编写的卡尔曼滤波实现圆周运动物体跟踪还有图形演示，包括实验代码和实验报告。-Kalman filter to achieve a circular motion object tracking
wenjian
- 基于卡尔曼滤波和粒子滤波的简单比较，用于高机动目标时时定位，以减少精度损失来换取目标跟踪定位时时性。-Relatively simple Kalman filter and particle filter-based positioning for high maneuvering targets time to time, in order to reduce the loss of precision target tracking in exchange for sex time to
tracing
- 目标跟踪卡尔曼滤波很好用,自己编的程序可以借鉴一下-Target tracking Kalman filter good use, own programs can learn about
IMM-Target-tracking
- 目标跟踪算法，运用交互多模型算法的卡尔曼滤波器。有文档，有程序，适用于初学者-Target tracking algorithm, using interactive multiple model Kalman filter algorithm
camshiftgai7
- 将Camshift和Kalman很好的结合的一个源代码，能实验很好的运动目标跟踪。-The good combination of Camshift and Kalman source code, can test a good moving target tracking.
SC
- 基于卡曼滤波的两关节机器人，目标跟踪控制系统。-Two joints, the robot based on kalman filtering, target tracking control system.
EKF_angle
- 扩展卡尔曼滤波在纯方位目标跟踪中的应用实例-Extended kalman filtering in the pure bearing target tracking application instance
Fall
- kalman滤波用于自由落体实验,本质上属于目标跟踪问题-Kalman filter used in free fall experiment, essentially belongs to the target tracking problem
VD2
- 卡尔曼滤波器的应用，VD算法，适用于目标跟踪问题，可以获得跟踪曲线，跟踪误差图-Kalman filter application, VD algorithm for target tracking, you can get track curves, the tracking error map
IMM
- 交互多模型(IMM)跟踪算法，效果比较好，方便理解-For the simulation of IMM, trajectory tracking based on Kalman algorithm
imm_Kalman
- 交互式多模型卡尔曼滤波算法,适应于道路交通和航迹跟踪问题-Interactive Multi model kalman filter algorithm
Particle-filter-example
- 程序是一维情况下目标跟踪的粒子滤波 ，并将扩展卡尔曼滤波与粒子滤波进行比较。-Program is a one-dimensional case of the target tracking particle filter , and the extended Kalman filter and particle filter are compared.
IMM
- 1.IMM.m 主要功能： （1）IMM算法的实现； （2）画出目标轨迹与利用IMM算法跟踪目标的轨迹； （3）画出位置误差与速度误差； （4）画出模型混合概率图。 2.Target_track.m 主要功能： 实现目标轨迹的产生。 3.Model_mix.m 主要功能： 实现IMM算法下，各模型的估计融合。 4.Kalman.m 主要功能： 实现模型的条件滤波，以及似然函数的输出。-1.IMM.m main functions: (1)
targettrackingusingkalman
- 使用背景差分法和卡尔曼滤波来实现对运动的球的跟踪-Using background subtraction and Kalman filtering to achieve the movement of the ball tracking
EKFforGPSStateEsitimation
- 采用扩展卡尔曼滤波器对GPS信号进行状态估计滤波，实现对状态的鲁棒跟踪，可用于目标跟踪、系统自动控制、惯性导航、组合导航等领域-extended kalman filter is used to state estimation of information of GPS signal, performing robust, prefering applied to target tracking(object tracking), automation, ins navigation
KM_LINE
- 卡尔曼滤波在目标跟踪中的应用研究，统计信号处理中的实验-Application of Kalman Filter in Target Tracking
IMMKF
- 多模型卡尔曼跟踪滤波模型,估计飞机运动路径准确性-Tracking Multiple Model Kalman filter model, the estimated accuracy of the aircraft path of movement
june1503
- 该程序用来实现扩展卡尔曼滤波（EKF),仿真中用扩展卡尔曼滤波实现对雷达目标的跟踪，并估计。-The program used to implement the extended Kalman filter (EKF), simulation with extended Kalman filter to achieve the target tracking radar, and estimates.