This project is the English version of “14 Lectures on Visual SLAM: From Theory to Practice,” a text and teaching resource about visual simultaneous localization and mapping (SLAM). It provides the full LaTeX source (formerly Markdown) for all 14 chapters, letting readers compile and study the material systematically. Within the repository you’ll find organized subfolders (e.g. chapters, latex, resources) containing the lecture contents, references, figures, and supporting assets for each part of the course. The material covers both foundational theory—geometry, camera models, feature matching, pose estimation—and practical systems components such as optimization, map representation, loop closure, and real-time factors. It aims to bridge academic rigor with hands-on implementation: readers are encouraged to implement algorithms, read code, and follow along with the mathematical derivations and system design decisions.
Features
- Lecture-by-lecture organized content covering foundational and advanced topics in visual SLAM (feature tracking, pose estimation, bundle adjustment, optimization)
- Mathematical derivations and theory combined with code/pseudocode to show implementation aspects
- Examples, visual illustrations (images, plots) to aid understanding in visual contexts
- Open source, version controlled; updated content/examples as needed
- Suitable as a reference or textbook for robotics / computer vision courses
- PDF / LaTeX source available to build the notes locally
Project Samples
