LIO-SAM
hdl_graph_slam
LIO-SAM | hdl_graph_slam | |
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1 | 1 | |
3,091 | 1,824 | |
- | - | |
0.0 | 1.2 | |
about 1 month ago | about 1 year ago | |
C++ | C++ | |
BSD 3-clause "New" or "Revised" License | BSD 2-clause "Simplified" License |
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LIO-SAM
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How do I create a map from a point cloud?
Probably, it's better to have a look at LIO-SAM (https://github.com/TixiaoShan/LIO-SAM). It generates a 3D map in a global frame based on LiDAR point cloud, IMU data with optional GPS support.
hdl_graph_slam
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Lidar 3D Mapping Recommendations
https://github.com/koide3/hdl_graph_slam U shud check this out, it is frequently updated by the maintainer and i have gotten answers from him using github issues before
What are some alternatives?
VeloView - VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.
rtabmap - RTAB-Map library and standalone application
r3live - A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
awesome-visual-slam - :books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
hdl_localization - Real-time 3D localization using a (velodyne) 3D LIDAR
sloam - Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests)
floam - Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021