搜索资源列表
激光传感器信息处理
- 用于处理激光传感器所测得的数据，可用于机器人SLAM算法
hector_slam-master
- 实时定位与建图（SLAM），用激光传感器采集周围环境信息，建立环境地图，并计算当前机器人的位姿。- Simultaneous Localization and Mapping (SLAM), with a laser sensor to collect information on the surrounding environment, the establishment of an environment map, and ca
code
- 机器人搭载激光雷达，在室内实现机器人的定位与地图构建-Robots equipped with a laser radar, indoors realize robot SLAM
test_lab
- 基于激光雷达的2D SLAM算法,SLAM算法是目前为止我看到的最简单的一种SLAM算法，效果也非常好-Based on laser radar SLAM 2D algorithm, SLAM algorithm is so far I have seen the most simple SLAM algorithm, the effect is also very good
Gmapping
- gmapping源码，有论文，属于激光SLAM-Gmapping source code and papers, belongs to the laser SLAM
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.)
tinyslam
- tinyslam是openslam中实现最为简单的一种slam方法，其代码的核心实现没有超过两百行，对新手入门，深刻理解slam的工作原理，很有帮助。(Tinyslam is the most simple realization of a slam method in openslam, the core implementation of its code does not exceed two hundred lines, for
rbpf仿真
- 基于占有概率栅格地图的2D激光SLAM仿真，进而进行实时地图创建(SLAM simulation based on RBPF)
2D激光slam程序
- 一个激光slam的matlab仿真程序，代码有解释，对学习slam很有帮助(A matlab simulation program for laser slam with explanatory code is very helpful for learning slam.)
SLAM
- Matlab实现对slam过程的仿真，含有激光雷达数据（2D）(The simulation of slam process is realized by matlab, which includes the data of lidar (2D))