hdl_graph_slam VS floam

Compare hdl_graph_slam vs floam and see what are their differences.

floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021 (by wh200720041)
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hdl_graph_slam floam
1 1
1,824 1,003
- -
1.2 4.2
about 1 year ago about 2 months ago
C++ C++
BSD 2-clause "Simplified" License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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hdl_graph_slam

Posts with mentions or reviews of hdl_graph_slam. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-04.
  • Lidar 3D Mapping Recommendations
    3 projects | /r/ROS | 4 Sep 2022
    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

floam

Posts with mentions or reviews of floam. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-04.
  • Lidar 3D Mapping Recommendations
    3 projects | /r/ROS | 4 Sep 2022
    Further you may take a look at Floam. It is an ICP approach used within RTAB that may be chosen, but it is also a fully fledged 3D Slam approach afaik. https://github.com/wh200720041/floam

What are some alternatives?

When comparing hdl_graph_slam and floam you can also consider the following projects:

rtabmap - RTAB-Map library and standalone application

LIO-SAM - LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

ssl_slam - SSL_SLAM: Lightweight 3-D Localization and Mapping for Solid-State LiDAR IEEE RA-L 2021

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)