awesome-visual-slam
:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers (by tzutalin)
hdl_graph_slam
3D LIDAR-based Graph SLAM (by koide3)
| awesome-visual-slam | hdl_graph_slam | |
|---|---|---|
| 2 | 1 | |
| 2,175 | 1,824 | |
| - | - | |
| 0.0 | 1.2 | |
| about 2 years ago | about 1 year ago | |
| C++ | ||
| - | BSD 2-clause "Simplified" License |
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.
awesome-visual-slam
Posts with mentions or reviews of awesome-visual-slam.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-14.
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what softwear like Dot3d can I use to map out a room with my I tel realsence depth camera?
What you are looking for is a SLAM library, which stands for simultaneous localization and mapping. Checkout these project list for more details, https://github.com/tzutalin/awesome-visual-slam
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Real-Time Coherent 3D Reconstruction from Monocular Video
I don't think that's true. The paper says that camera pose estimated by a SLAM system is required. ARKit implements SLAM and can easily provide camera pose for each frame through the ARFrame class. But there are countless other implementations of SLAM, including Android ARCore, Oculus Quest, Roomba, self-driving cars, and a number of GitHub repos (https://github.com/tzutalin/awesome-visual-slam).
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.
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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?
When comparing awesome-visual-slam and hdl_graph_slam you can also consider the following projects:
awesome-NeRF - A curated list of awesome neural radiance fields papers
rtabmap - RTAB-Map library and standalone application
learn-ruby-and-cs - Books and other resources for learning Ruby and computer science. [Moved to: https://github.com/fpsvogel/learn-ruby]
LIO-SAM - LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
learn-ruby - Learning resources for Ruby, Rails, and related skills.
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