slambook-en
visual-slam-roadmap
| slambook-en | visual-slam-roadmap | |
|---|---|---|
| 11 | 2 | |
| 1,369 | 1,222 | |
| - | - | |
| 0.0 | 0.0 | |
| 12 months ago | 3 months ago | |
| TeX | ||
| GNU General Public License v3.0 only | MIT License |
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slambook-en
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How to implement SLAM from scratch in C++
Looking at code repos is not an effective way to learn in my opinion. I highly recommend this open text book that has practical explained and many code examples https://github.com/gaoxiang12/slambook-en
- SLAM localization methods?
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Trying to understand the complications of including geometric priors in SLAM
According to a popular slam book(https://github.com/gaoxiang12/slambook-en/blob/master/slambook-en.pdf) this has to do with solving the Hx=g with schur trick and how row operations induce some implicit constraints during the marginalization step ( pg 211~213). However, I don't think I am getting the full picture here.
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Starting point for learning VSLAM?
Hi, I work on a tangentially related topic and the best resource I've found so far is this book: https://github.com/gaoxiang12/slambook-en/blob/master/slambook-en.pdf. I went through some chapters only, but everything seems to be explained clearly and with code examples. Hope this helps!
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Clarification for Lie Algebra
I am trying to understand the Lie algebra for robotics and reading up this: https://github.com/gaoxiang12/slambook-en/blob/master/slambook-en.pdf
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Mono SLAM -Camera pose on Mobile Robot
If you're wanting to learn how all this stuff works I highly recommend this open source book: https://github.com/gaoxiang12/slambook-en
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Literature request: Lie groups and algebra
Hey! I was in your shoes a couple months ago! The YouTube video that the_remainder posted is how I wrapped my mind around lie algebra, but in order for me to be able to use it effectively took going through the relevant chapter in the slambook (https://github.com/gaoxiang12/slambook-en)
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C++ or Python (SLAM)
Great book to learn slam https://github.com/gaoxiang12/slambook-en
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Online course for SLAM with assignments
https://github.com/gaoxiang12/slambook-en I would recommend this.
- Roadmap to study Visual-SLAM
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?
symforce - Fast symbolic computation, code generation, and nonlinear optimization for robotics
stella_vslam - This is a unofficial fork of OpenVSLAM (https://github.com/xdspacelab/openvslam)
ORB_SLAM2 - Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Awesome-Implicit-NeRF-Robotics - A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
ORB_SLAM - A Versatile and Accurate Monocular SLAM
awesome-tensorflow-lite - An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
Mini-SLAM_student - Student version of Mini-SLAM.
Kimera - Index repo for Kimera code
rpg_svo - Semi-direct Visual Odometry
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
awesome-robotics - A curated list of awesome links and software libraries that are useful for robots.