Kimera
awesome-robotics-libraries
| Kimera | awesome-robotics-libraries | |
|---|---|---|
| 3 | 1 | |
| 1,721 | 2,125 | |
| 4.4% | - | |
| 0.0 | 4.9 | |
| over 3 years ago | 4 months ago | |
| BSD 2-clause "Simplified" License | Creative Commons Zero v1.0 Universal |
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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
awesome-robotics-libraries
What are some alternatives?
rtabmap - RTAB-Map library and standalone application
Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
openvslam - OpenVSLAM: A Versatile Visual SLAM Framework
pyglet-feedstock - A conda-smithy repository for pyglet.
VINS-Mono - A Robust and Versatile Monocular Visual-Inertial State Estimator
awesome-python-in-education - A curated list about Python in Education :snake: :mortar_board:
ORB_SLAM3 - ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
cpsat-primer - Using and Understanding OR-Tools' CP-SAT: A Primer and Cheat Sheet
visual-slam-roadmap - Roadmap to become a Visual-SLAM developer in 2023
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.
criminal-law - You can't commit a crime. You can try if you want.
dv