yanyan-li/SLAM-BOOK resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1088 stars · 165 forks observed · 2026-08-28

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

An open book draft (in Chinese) explaining geometric and deep learning methods used in SLAM systems, with accompanying code per chapter. It covers topics like multi-view geometry and learning-based pose estimation, targeting roughly 200 pages when complete.

Use cases

• learn SLAM from scratch
• understand geometric vs deep learning approaches to SLAM
• study multi-view geometry for visual odometry
• find code examples accompanying a SLAM textbook
• learn how deep learning is integrated into SLAM systems

When to choose

• you want a structured, textbook-style introduction to SLAM covering both classical geometry and deep learning
• you read Chinese and want free educational material with per-chapter code
• you are a student or researcher entering visual SLAM

When to avoid

• you need a production-ready SLAM library or framework
• you need English-language material
• you need a complete, finished book - only the first few chapters are available
• you need permissively licensed code - it is CC BY-NC-SA (non-commercial)

Facets

learning-resource · maturity experimental

machine-learning computer-vision simulation robotics computer-vision tutorials deep-learning python cross-platform slam book visual-slam multi-view-geometry deep-learning robotics educational

Member repositories

For agents

markdown · JSON · MCP: product_card(name="yanyan-li/SLAM-BOOK")