扩展卡尔曼滤波算法,extended Kalman filter
1)extended Kalman filter扩展卡尔曼滤波算法
英文短句/例句
1.Asynchronous Motor Parameter Identification Based on EKF;基于扩展卡尔曼滤波算法的异步电机参数辨识
2.Electrostatic Target Tracking Based on Improved Extended Kalman Filter基于改进扩展卡尔曼滤波算法的静电目标跟踪
3.Application of Patulous Kalman Filter Algorithm in UWB Location扩展卡尔曼滤波算法在UWB定位中的应用
4.Application of Quaternion-Based Extended Kalman Filter for MAV Attitude Estimation Using MEMS Sensors用于微小型飞行器姿态估计的四元数扩展卡尔曼滤波算法(英文)
5.Research of Comparative Analysis of Extended kalman Filter and Particle Filter扩展卡尔曼滤波和粒子滤波算法性能比较研究
6.Estimation for Carrier Parameters Based on the Extended Kalman Filter扩展卡尔曼滤波估计载波参数的算法研究
7.EKF Based Acoustic Sensor Tracking Algorithm基于扩展卡尔曼滤波的声传感器跟踪算法
8.A Neural Network Learning Algorithm Based on the Extended Kalman Filter Applied to Stock Prediction;扩展卡尔曼滤波神经网络算法在股市的应用
9.Learning Algorithm Based on Extended Kalman Filter for Functional Link Artificial Neural Networks基于扩展卡尔曼滤波的FLANN网络学习算法
10.Particle swarm optimized extended kalman particle filter algorithm一种粒子群优化扩展卡尔曼粒子滤波算法
11.Integrated Navigation Algorithm Based on IMM-EKF基于多模型扩展卡尔曼滤波的组合导航算法
12.Research on EKF-Based Simultaneous Localization and Mapping Algorithm;基于扩展卡尔曼滤波的同时定位与地图构建算法研究
13.Research on the Vehicle State and Road Tire Friction Coefficient Estimation Based on Dual Extended Kalman Filter基于双扩展卡尔曼滤波的汽车状态及路面附着系数估计算法研究
14.Wideband spread function estimation in wavelet transform domain based on Kalman filtering approach基于卡尔曼滤波器的小波变换域宽带扩展函数估计方法
15.Study on Kalman Filtering in Real Time OD Estimation;实时OD估计中卡尔曼滤波算法研究
16.Speech Enhacement Based on Kalman Filtering基于卡尔曼滤波的语音增强算法研究
17.Weighted Minimum Mean Square Kalman Filter基于加权最小二乘的卡尔曼滤波算法
18.Application of EKF for Stator Parameters Identification of 12 Phase Generator扩展卡尔曼滤波法在12相发电机定子参数辨识中的应用
相关短句/例句
extended Kalman filter扩展的卡尔曼滤波算法
1.The fusion algorithm based onextended Kalman filter in common use has the disadvantage of unsatisfactory tracking precision.在实际系统中 ,常用的数据融合方法是基于扩展的卡尔曼滤波算法的融合算法 ,但是这种融合算法的跟踪精度并不是很高 。
3)EKF扩展卡尔曼滤波
1.Estimation of Rotor Position and Velocity of Brushless DC Motor with anEKF Method;用扩展卡尔曼滤波器估计无刷直流电机转子位置和转速
2.Cooperative Multi-robot Localization Based onEKF;基于扩展卡尔曼滤波的多机器人协作定位
3.Integrated Navigation Algorithm Based on IMM-EKF基于多模型扩展卡尔曼滤波的组合导航算法
4)extended kalman filter扩展卡尔曼滤波
1.Pipeline fluid monitoring and leak location based on hydraulic transient andextended kalman filter;基于水力瞬变与扩展卡尔曼滤波的管道流体监测与泄漏定位
2.Attitude estimation based on extended Kalman filter for a two-wheeled robot;基于扩展卡尔曼滤波的两轮机器人姿态估计
3.Application of extended Kalman filter in parameter identification of dynamic load model;扩展卡尔曼滤波在动态负荷参数辨识中应用
5)extended kalman filtering扩展卡尔曼滤波
1.Relative attitude determination based on extended Kalman filtering(EKF) is presented.针对编队飞行中从飞行器与主飞行器的相对姿态确定问题,提出了基于扩展卡尔曼滤波(EKF)的相对姿态确定方法。
2.It extracts and tracks feature point sets in the environment with single camera,and then calculates position and pose of the robot with measurement model and extended Kalman filtering.利用单目摄像头提取和跟踪环境特征点集,进而根据观测模型利用扩展卡尔曼滤波算法估算出机器人的位姿。
3.The effect of colored Kalman filtering is compared with extended Kalman filtering (EKF).基于递推最小二乘法设计并实现海浪干扰力和干扰力矩的成型波滤器 ,对有色的次优卡尔曼滤波和扩展卡尔曼滤波 ( EKF)的效果进行对比。
6)Extended kalman filter(EKF)扩展卡尔曼滤波
1.In view of the problem that the linearization process of extended Kalman filter(EKF) can introduce some errors into the system,the unscented Kalman filter(UKF) was utilized to design the system.针对扩展卡尔曼滤波(EKF)在线性化过程中会引入误差的问题,采用平淡卡尔曼滤波器(UKF)进行了系统滤波器设计;提出一种构建虚拟观测量的方法,并分析了其噪声特性。
2.Then the robot poses and map information are updated synchronously with the help of extended Kalman filter(EKF).该方法提取颜色区域作为视觉路标;在分析全景视觉成像原理和定位不确定性的基础上建立起系统的观测模型,定位出路标位置,进而通过扩展卡尔曼滤波算法(EKF)同步更新机器人位置和地图信息。
3.With the aim of solving the low positioning accuracy and low robustness problems of vision SLAM algorithm,Extended Kalman Filter(EKF) method based on binocular vision and odometer is proposed in this paper.针对视觉SLAM要解决的定位精度低和鲁棒性低的问题,提出一种基于双目视觉传感器与里程计信息的扩展卡尔曼滤波SLAM方法,应用改进的SIFT算子提取双目视觉图像的环境特征获得特征点,并构建出视觉特征地图;应用扩展卡尔曼滤波算法融合视觉信息与机器人位姿信息,完成同时定位与地图创建。
延伸阅读
卡尔曼滤波见波形估计。
