搜索资源列表
fenlei
- 机载激光雷达点云的阶层式分类
.las文件读取
- 用C# 读取激光雷达扫描标准文件格式.las 因为las文件是二进制格式的，所以要读取文件必须知道文件数据格式。本程序通过读取点云las文件，获得点云坐标。
sicktoolbox
- 提供激光雷达点云数据的读取，滤波及分类功能-LIDAR point cloud data available to read, filter and sorting functions
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
PLIntegration
- GPS与激光雷达融合的程序，最后结果为3D点云数据-Integration of GPS and laser radar program, the final results for the 3D point cloud data
LASheader
- 读取激光雷达点云数据的头文件数据块，将点云数据的基本信息记录在相应的变量中。-Read lidar point cloud data header file data block, the basic information of the point cloud data recorded in the corresponding variable.
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
topscan
- 激光雷达点云滤波的topscan算法实现，并能计算精度，绘制出地面点效果图。-Topscan LIDAR point cloud filtering algorithm implementations, and can calculate the precision ground points plotted renderings.
hs_lashead
- 激光雷达点云las 读取程序 可以用来读取las文件-The reading program
xjx_lasdata
- 机载激光雷达点云数据的读取和进一步处理程序LIDAR-Read airborne lidar point cloud data and further processing program LIDAR
hs_lashead
- 机载激光雷达点云数据读取与显示，对机载激光雷达点云数据有效-LAS file reading. this is useful for reading of LiDAR data LAS file.this is very useful code.
激光雷达
- 在Linux平台下，使用QT5.7.0.实现八线激光雷达点云数据的聚类。数据采集于真实的场景。采用蒙特卡洛和ABD聚类算法实现聚类。(In Linux platform, we use QT5.7.0. to realize the clustering of point cloud data of eight line lidar. Data is collected in real scenes. Monte Carlo and ABD clustering algorithms are u
M8激光雷达动目标跟踪仿真
- 模拟八线激光雷达产生点云数据，实现目标聚类，并对聚类的目标进行跟踪。(Simulated eight line lidar generates point cloud data, achieves target clustering, and tracks the clustering targets.)
点云数据ICP
- 激光雷达点云数据拟合点云拟合icp算法(Point cloud fitting ICP algorithm for LIDAR point cloud data)
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
ICP算法matlab实现
- 很好地实现了激光雷达点云的ICP配准，附带数据(ICP registration of LIDAR point cloud is well realized)
MY_PFH
- 计算激光雷达点云数据的点特征直方图，即PFH特征(calculate point features historm of LIDAR data)
点云三维重建
- 用MATLAB实现激光雷达的三维点云的重建。(Reconstruction of 3D point cloud with MATLAB)