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3D-reconstructiong-in-Matlab
- 本程序用于绘制三维图形，可以对地面激光点云数据进行三维建模。-The procedure used to draw three-dimensional graphics, you can on the ground laser point cloud data for three-dimensional modeling.
GridProjection
- 一种网格投影算法，可以根据高程值区分网格属性，用于激光雷达点云分类-A kind of grid projection method, can be distinguished according to the grid elevation attribute value for the LIDAR point cloud classification
PtsCompress
- 基于八叉树的三维激光扫描点云数据压缩，根据曲率进行分块压缩。-Point cloud compress based on october
dianyun2DSM
- 此程序是用来将机载激光雷达（LIDAR）点云数据转换成DSM深度影像，以便于后续进行阈值分割工作的。-This program is used for airborne laser radar (LIDAR) to transform point cloud data into the DSM depth image, in order to follow-up the work of the threshold segmentation.
angle.lidar
- 【无人驾驶传感器之64线激光雷达】 velodyne hdl64es2 64线激光雷达点云数据处理之雷达扫描范围图-[64 line laser radar sensor of the unmanned] velodyne hdl64es2 64 lines LIDAR point cloud data processing of the scan range radar chart
feature.dr
- 【无人驾驶传感器之64线激光雷达】 velodyne hdl64es2 64线激光雷达点云数据处理之雷达返回值与转角关系-[64 line laser radar sensor of the unmanned] velodyne hdl64es2 64 lines lidar point cloud radar data processing of the return value and the angular relationship
filter.dr
- 【无人驾驶传感器之64线激光雷达】 velodyne hdl64es2 64线激光雷达点云数据处理之角分割与滤波方法-[64 line laser radar sensor of the unmanned] angle velodyne hdl64es2 64 lines LIDAR point cloud data processing method of segmentation and filtering
point-cloud-simplification-
- 激光点云的抽稀算法，可以选择抽稀的倍数， VS2010所写，完整的程序 下载就能运行-Laser point cloud simplification algorithms
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 beginners, a profound underst
激光雷达数据处理
- 文件中包含原始激光雷达数据，MATLAB读取.ubh文件、点云数据滤波、误差分析、模型验证、三维表面拟合的源代码，目前调试无误(The file contains raw lidar data. MATLAB reads the source code of.Ubh file, point cloud data filtering, error analysis, model validation and 3D surface fitting. At present, debugging is