SC-LIO-SAM 是一种实时激光雷达惯性 SLAM 封装。 LiDAR 惯性 SLAM:扫描上下文 + LIO-SAM 该存储库是一个示例用例,它是一种快速而强大的 LiDAR 位置识别方法。 有关每种算法的更多详细信息,请参阅扫描上下文 LIO-SAM 您还可以使用该项目的 LiDAR-only 版本,名为 。
# Export settings savePCD: true # https://github.com/TixiaoShan/LIO-SAM/issues/3 savePCDDirectory: "/data/lio/" # in your home folder, starts and ends with "/". Warning: the code deletes "LOAM" folder then recreates it. See "mapOptimization" for implementation # Sensor Settings N_S...
导入SC_LIOSAM库:在您的代码中导入SC_LIOSAM的库文件,以便可以使用其中的函数和类。 #include<sc_liosam.h> 1. 创建光学系统模型:使用SC_LIOSAM提供的函数创建光学系统模型,并设置光学元件的属性。 sc_liosam::OpticalSystemModel model;model.addLens(50.0);// 添加一个焦距为50mm的透镜model.addPrism(1.5)...
SC-LIO-SAM is a real-time lidar-inertial SLAM package. LiDAR-inertial SLAM: Scan Context + LIO-SAM This repository is an example use-case of Scan Context, which is a fast and robust LiDAR place recognition method. For more details for each algorithm please refer to Scan Context https:...
LiDAR-inertial SLAM: Scan Context + LIO-SAM. Contribute to 3DSS-Project/SC-LIO-SAM development by creating an account on GitHub.
Provide point ring number. LIO-SAM uses this information to organize the point correctly in a matrix. The ring number indicates which channel of the sensor that this point belongs to. The definition of the point type is located at the top of "imageProjection.cpp." The up-to-date Velodyne...
LiDAR-inertial SLAM: Scan Context + LIO-SAM. Contribute to gisbi-kim/SC-LIO-SAM development by creating an account on GitHub.