搜索资源列表
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
LidarSeq
- 点云分割的函数文件，适合于lidar点云数据，具有很强大的点云处理功能-Point cloud segmentation function file, suitable for lidar point cloud data, with a very powerful point cloud processing
Delaunay2
- 基于前人的成果，改进实现了基于MFC对话框构架的Delaunay三角划分算法，用激光雷达的LAS数据进行了测试，效果不错。并尝试实现Matlab中GridData()函数的实现过程。-MFC Dialog based Delaunay algorithm tested with LiDAR las data showing its good performance. How to release GridData function of Matlab is also tried.
CPP
- 录入三维lidar点云数据，并且在软件中三维显示出来-Entry dimensional lidar point cloud data, and show up in the software
feature-detection
- 基于PCA的雷达点云数据的形状特征提取,主要是屋顶平面提取-The feature extraction of LiDAR point cloud data based on PCA
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.
lastools
- 可以进行Lidar点云数据LAS文件的分割，合并，滤波等处理-Lidar point cloud data LAS file split, merge, filtering and processing
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.
DisplayLidarPoint
- 读取可现实Lidar点云数据的开源代码，里面包含工程项，可直接打开-Read the real Lidar point cloud data of the open source code, containing engineering item, can be directly to open
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
数据处理
- 通过matlab读取从传感器中获取到的数据文件（excel格式），将时间戳转换为标准时间(Read the data file (Excel format) from the sensor through the MATLAB and convert the timestamp to the standard time)
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
激光数据解析实例代码(VC6)
- 激光雷达数据解析程序，帮助下载者书写自己的激光雷达采集程序(A lidar data parsing program that helps downloader write his own laser radar acquisition program)
混合滤波算法
- 实现了2017年中国科学院植物所在ISPRS上发表的森林条件下激光雷达滤波的算法，具有较高的滤波精度(Code for Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas, contained simplely using KDTree and TIN data structure.)
LasReadDraw
- MFC，实现了激光雷达数据的读取，滤波等各种操作(MFC, which realizes laser radar data reading, filtering and other operations.)
python
- 此文件用于激光雷达数据读取，以及各种操作等等(This document is used for lidar data reading and various operations.)
UDPSeverForm
- 读取激光雷达的数据，并进行解析；然后根据时间进行距离标定。(Read the lidar data and analyze it)
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
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)