SilenceOverflow/Awesome-SLAM resource

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1111 stars · 157 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of SLAM (Simultaneous Localization and Mapping) and Visual Odometry resources on GitHub, covering visual, visual-inertial, LIDAR-based, learning-based, and mobile SLAM systems. It also collects datasets, tutorials, blogs, and research groups for learners and practitioners.

Use cases

• find open-source SLAM algorithms
• learn visual SLAM from tutorials
• compare monocular stereo and RGBD SLAM systems
• find LIDAR SLAM frameworks
• discover SLAM datasets for research
• get started with visual odometry
• find SLAM learning resources and blogs

When to choose

• you want a broad curated index of SLAM/VO projects and tutorials
• you are researching which SLAM approach fits visual, inertial, or LIDAR sensors
• you need datasets and learning material for 3D vision and robotics

When to avoid

• you need a runnable SLAM implementation rather than a resource list
• you need up-to-date coverage, since the list was last substantially updated in 2021
• you need SLAM papers specifically, which live in a companion repo

Facets

learning-resource · maturity maintenance

documentation developer-tools robotics computer-vision tutorials awesome-lists cross-platform slam visual-odometry lidar vslam vislam curated-list augmented-reality

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