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bailey02thesis
- 一篇应用卡尔曼滤波和粒子滤波进行移动机器人室外定位的博士论文-A PhD Thesis Mobile Robot Localisation and Mapping in Extensive Outdoor Environments Utilizing Kalman Filter and Particle Filter
PHD_CPHD
- 一个PHD CPHD 滤波的程序，即目标状态后验密度的一阶矩，实现对目标状态和目标数的估计。-Probability hypothesis density filter for MTT tracking
GM_PHD_Filter_v110
- GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - erro
GM_PHD1
- 基于高斯线性的概率密度函数滤波估计，以此为蓝本有很多改进或类似的算法，比如CDKF-PHD等-Based on Gaussian probability density function of the linear filter estimation, there are a lot of improvements as a blueprint or similar algorithms, such CDKF-PHD, etc.
State_Space_Models_FEX
- State Space/ Kalman Filter Toolbox,Author: Marcelo Perlin / (PhD Student) / ICMA – Reading University,This toolbox was designed to simulate and fit linear state space models with the kalman filter approach. The main literature I used for this parti