rtabmap
Kimera
| rtabmap | Kimera | |
|---|---|---|
| 14 | 3 | |
| 2,501 | 1,721 | |
| 2.5% | 4.4% | |
| 9.1 | 0.0 | |
| 10 days ago | over 3 years ago | |
| C++ | ||
| GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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.
rtabmap
- Generating a 3D point cloud map (simulation)
- Ros2 and native dependecies
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Lidar 3D Mapping Recommendations
I used RTAB Map for my masterthesis as well. You have to use the cloud topics and disable all scan parameters. There is a masterfile with 800 lines of parameters that should help you out. https://github.com/introlab/rtabmap/blob/master/corelib/include/rtabmap/core/Parameters.h
- What's the most odd thing you've got running on your steam deck?
- RTAB-Maap
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ROS: Simultaneous Mapping and Localization with RTABmap
RTABmap project homepage
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Software to process Kinect Xbox Data to point cloud
Website: http://introlab.github.io/rtabmap/
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How to reduce points in VSLAM to 3D meshes? Has it been done before?
I'd suggest RTABMAP.
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Need some help with SLAM and mapping with LIDAR
For your application rtabmap would be a good starting point I think. (You don't really need ROS either for rtabmap) http://introlab.github.io/rtabmap/
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Lidar and Stereo Vision for Biped
check out http://introlab.github.io/rtabmap/ and https://opensource.google/projects/cartographer and https://docs.nvidia.com/isaac/isaac/doc/tutorials/assemble\_kaya.html
Kimera
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Doing SLAM with laptop sensors
You could try your luck with OrbSLAM3 or Kimera, they're pretty close to state of the art and open source. Might have a bit of a learning curve though.
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How to reduce points in VSLAM to 3D meshes? Has it been done before?
Kimera is the one SLAM algorithm that is probably most similar to what you are interested in because it deals with meshes. So the output reconstruction is a 3D mesh map.
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Fuse between segmentation and 3D model
Have a look at Kimera
What are some alternatives?
cartographer - Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
openvslam - OpenVSLAM: A Versatile Visual SLAM Framework
VINS-Mono - A Robust and Versatile Monocular Visual-Inertial State Estimator
open_vins - An open source platform for visual-inertial navigation research.
awesome-robotics-libraries - :sunglasses: A curated list of robotics libraries and software
SuperPoint_SLAM - SuperPoint + ORB_SLAM2
ORB_SLAM3 - ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
PythonRobotics - Python sample codes for robotics algorithms.
visual-slam-roadmap - Roadmap to become a Visual-SLAM developer in 2023
v-loam
Kalman-and-Bayesian-Filters-in-Python - Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.