Kimera
visual-slam-roadmap
| Kimera | visual-slam-roadmap | |
|---|---|---|
| 3 | 2 | |
| 1,721 | 1,228 | |
| 4.4% | - | |
| 0.0 | 0.0 | |
| over 3 years ago | 3 months ago | |
| BSD 2-clause "Simplified" License | MIT License |
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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
visual-slam-roadmap
- Starting point for learning VSLAM?
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Roadmap to study Visual-SLAM 2023
Today, I'm sharing the updated version of a roadmap to study visual-SLAM on Github for 2023 edition.
What are some alternatives?
rtabmap - RTAB-Map library and standalone application
stella_vslam - This is a unofficial fork of OpenVSLAM (https://github.com/xdspacelab/openvslam)
openvslam - OpenVSLAM: A Versatile Visual SLAM Framework
Awesome-Implicit-NeRF-Robotics - A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
VINS-Mono - A Robust and Versatile Monocular Visual-Inertial State Estimator
awesome-tensorflow-lite - An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
awesome-robotics-libraries - :sunglasses: A curated list of robotics libraries and software
resources - Resources on various topics being worked on at IvLabs
ORB_SLAM3 - ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
slambook-en - The English version of 14 lectures on visual SLAM.
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.
awesome-robotics - A curated list of awesome links and software libraries that are useful for robots.