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 au

粒子滤波算法与扩展卡尔曼滤波算法的比较方法。-Particle filter and extended Kalman filter algorithm for comparison.

机动卡尔曼算法(VD算法)在扩展卡尔曼滤波诸算法中原理较为简单，目标跟踪效果也较好．-Motor the Kalman algorithms (VD algorithm) in the extended Kalman filter the Zhu algorithm is relatively simple principle, target tracking results would be better.

主要对扩展卡尔曼滤波（EKF）、无迹卡尔曼滤波（UKF）及改进无迹卡尔曼滤波（MAUKF）算法进行研究，研究了三种算法的基本原理和各自的特点。其中扩展卡尔曼滤波器是将卡尔曼滤波器局部线性化，其算法简单，计算量小，适用于弱非线性、高斯环境。无迹卡尔曼滤波器是用一系列确定样本来逼近状态的后验概率密度。改进无迹卡尔曼滤波算法在UKF的基础上引入衰减因子。-Improved Kalman filtering algorithm