14 Lectures on Visual SLAM (slambook) resource

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What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Companion code repositories for the book '14 Lectures on Visual SLAM: From Theory to Practice', organized by chapter with C++ examples covering visual odometry, nonlinear optimization, loop closure, and dense reconstruction. Includes the original edition (slambook), the updated second edition (slambook2), and an English edition (slambook-en).

Use cases

• learn visual SLAM from theory to practice
• example code for visual odometry with OpenCV
• learn g2o and Ceres pose graph optimization
• understand Lie groups and Lie algebra for robotics
• implement loop closure with DBoW3
• build dense 3D reconstruction with Octomap

When to choose

• you are studying visual SLAM and want runnable chapter-by-chapter C++ examples
• you want a structured curriculum pairing a textbook with code
• you need reference implementations of VO, pose graph optimization, and bag-of-words loop closure

When to avoid

• you need a production-ready SLAM system to deploy on a robot
• you want a maintained library rather than educational code
• you are not working in C++ on Linux

Facets

learning-resource · maturity stable

computer-vision simulation math developer-tools robotics computer-vision tutorials cpp cross-platform slam visual-odometry eigen g2o ceres book-code education algorithms linux

Member repositories

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