ADRC

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 autonomous underwater vehicle. Vehicle localization and seabed mapping is performed simultaneously by means of an Extended Kalman Filter. Passive landmarks are detected on the images and characterized considering 2D and 3D features. Landmarks are re-observed while the robot is navigating and data association becomes easier but robust. Once the survey is completed, vehicle trajectory is smoothed by a Rauch-Tung-Striebel filter obtaining an even better alignment of the 3D views and yet a large-scale acquisition of the seabed.)

这是一个关于最小二乘法的程序，可能有点问题，希望大虾帮忙看一下，急求。(This is one of the least-squares method of procedure, may have problems in the hope of tremendous help to see if promptly.)

params, and file with extension of idea

matlab基本程序，经检验室可以运行，精确度很高，大道循环标准(matlab basic procedures, the laboratory can run, high precision, road cycling standards)

道路检测中的SVM方法，供研习者学习与参考。(Road detection SVM method for learning to learn and reference.)

说明：  多机器人系统的集群控制仿真实现，其中运用势场法实现了集群的稳定(Realization of Cluster Control Simulation for Multi-Robot System)

计算信号的魏格纳分布。 用法见函数说明。(Calculate the signal Wigner. Usage See function description.)

使用matlab识别船行的轨迹和运行效果。(Use matlab find shipping way。)

The simulator GUI is started with command ui_start in Matlab command window. WLAN simulation starts by clicking the Start Simulation button in the GUI window. WLAN simulation can be terminated, before set number of packets have been reached by pressing control-C .

The Support Ve ct or Machi ne So fa r we have used a reference as sumpt ion tha t there exists a linear classifier that has a larg e ge ometric margin, i.e., whose decision b oundar y is we ll separa ted from all the training images (e xamples). Such a larg e margin classifier seems like one we would like to use. C an’t we find it more directly? Yes, we can. The clas sifier is known as the Support Ve ctor M achine or SVM for short.