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基于卡尔曼滤波的SLAM算法
- <p>基于卡尔曼滤波的ＳＬＡＭ算法，动态显示数据滤波过程和定位效果！</p>
ekfslam_v2.0
- 对SLAM算法中的EKF-SLAM算法进行改进，并实现仿真程序，与EKF-SLAM V1相比，此算法更快捷，并具有很好的定位结果-Of the SLAM algorithm EKF-SLAM algorithm is improved, and implemented simulation program, compared with the EKF-SLAM V1, this algorithm is more efficient and have good positioning resul
ukfslam
- 采用ukf-SLAM算法对机器人和目标进行同步的定位-Ukf-SLAM algorithm using the robot and target position synchronized
Real-Time-MonoSLAM-SLAM
- 本文设计了一种在未知环境中使用单目摄像机实时恢复3D图形轨迹的算法，进一步利用MonoSLAM实现机器人的路径规划。-This paper designs to use in an unknown environment a monocular camera 3D graphics in real time recovery path algorithm, further use of MonoSLAM robot path planning.
slam-session1
- slam算法的MATLAB源代码，国外某网站的的代码-slam algorithm MATLAB source code, a foreign Web site code
GSNNSimulation
- 本文针对SLAM算法中数据关联过程，提出了一种简单易行的改进方法，将欧氏距离与马氏距离结合用于数据关联。算法不必计算地图所有特征与所有量测之间的马氏距离，而是首先利用相对简单的欧氏距离计算缩小了待关联特征的搜寻范围。利用人工合成数据的仿真结果表明，改进后的数据关联方法可以大幅减少系统计算量，提高关联效率，且不会造成错误关联的增加。-This article SLAM algorithm for data association process, a simple method to Euclid
IDASimulation
- 本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同-In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using t
slamToolbox
- Joan Solà编写6自由度扩展卡尔曼滤波slam算法工具包，解决视觉和机器人定位SLAM的一些列算法matlab工具包，对机器人定位和地图创建以及基于视觉的定位有很大帮助-This toolbox performs 6DOF SLAM using the classical EKF implementation. It is conceived as an "active-search" SLAM. It is provided for free under the GPL license
ekfslam_v1.0
- 根据SLAM算法中的EKF-SLAM算法对运动机器人和周围环境进行同步定位和环境识别的仿真，可以达到较高的定位精度和结果-SLAM algorithm based on the EKF-SLAM algorithm and the surrounding environment movement to synchronize the robot to locate and identify the simulation environment, you can achieve high posi
Study-meterial-on-SLAM
- 三篇与SLAM相关的参考文献，由悉尼大学的团队发表，有助于对SLAM算法的了解和学习。-Three with the SLAM-related references, published by the University of Sydney team, contribute to the SLAM algorithm to understand and learn.
EKF-SLAM
- 机器人定位中的EKF-SLAM算法，用扩展卡尔曼滤波的方法实现同时定位和地图构建-Robot localization algorithm EKF-SLAM，Using extended Calman filter method to achieve the simultaneous localization and map building
UKF-SLAM
- 经典的同步定位与建图算法-应用UKF的UKF-SLAM算法，非常好的学习资料，程序写得很不错，包含图形化的航路点及路标设置算法程序。matlab版。
SLAM
- slam算法基础介绍 外文资料 同时定位与作图的同学可以-introduce foreign materials slam algorithm based simultaneous localization and mapping students can look
RFS-SLAM-master
- 基于随机有限集的SLAM算法源代码，对于研究同步定位与地图构建算法有一定的参考价值-Based on stochastic finite set of SLAM algorithm source code, for the study of simultaneous localization and mapping algorithm has a certain reference value
EKF SLAM
- 将SLAM算法同扩展卡尔曼滤波相组合，可以进行比较准确的室内定位。
RGB-D-SLAM
- 一种ROS开源的RGB-D SLAM算法-A ROS open source SLAM RGB-D algorithm
icp-slam
- icp-slam算法。无人车在未知环境移动进行地图构建及自身定位的算法。-icp-slam algorithm. Unmanned vehicles were moving in an unknown environment map building and localization algorithm itself.
cartographer
- 在进行室内点云匹配的时候，可以进行激光SLAM算法的点云场景。(The point cloud scene of the laser SLAM algorithm can be carried out when indoor point cloud matching is performed.)
SLAM
- 对于机器视觉算法的研究学习的基础介绍，包括简单的算法源程序与过程介绍。(For the machine vision algorithm research and study of the basic introduction, including a simple algorithm source and process introduction.)
ekfslam_v1.0
- 这是slam算法的基础部分EKF_slam。对于初学者有这和大用处(This is the basic part of the SLAM algorithm, EKF_slam. It has this and a big use for beginners)