hdl_graph_slam
3D LIDAR-based Graph SLAM (by koide3)
sloam
Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests) (by KumarRobotics)
| hdl_graph_slam | sloam | |
|---|---|---|
| 1 | 1 | |
| 1,824 | 186 | |
| - | 3.8% | |
| 1.2 | 1.8 | |
| about 1 year ago | over 1 year 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
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
sloam
Posts with mentions or reviews of sloam.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Tree detection in forest using deep learning
You'd need to train on a lidar dataset, using point-cloud deep learning approaches. From experience and word-of-mouth, tree detection might be harder on single lidar scans (sweeps). But if you build a 3D map, then detection is easier. You can see that kind of work here : https://github.com/KumarRobotics/sloam
What are some alternatives?
When comparing hdl_graph_slam and sloam you can also consider the following projects:
rtabmap - RTAB-Map library and standalone application
orb_slam_2_ros - A ROS implementation of ORB_SLAM2
LIO-SAM - LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
salih_slam - Basic Visual Simultaneous Localisation & Mapping (VSLAM) implementation for three dimensional localisation.
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
floam - Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021