First reading:
- SLAM for dummies
From Wikipedia:
From zhihu:
From Leiphone.com
- 大牛讲堂｜SLAM第一篇：基础知识
- 大牛讲堂｜SLAM最终话：视觉里程计
- SLAM，让机器人知行合一 | 硬创公开课
- 机器人自主移动的秘密，从SLAM技术说起（一）
- 机器人自主移动的秘密：实际应用中，SLAM究竟是如何实现的？（二）
- 机器人自主移动的秘密：SLAM与路径规划有什么关系？（三）
Blog post:
Context
Probablistic Models
Projective Geometry ----> Single View Geometry ----> Two-View Geometry
Computer Vision
Localization ----> Kalman Filters
Paticle Filters
Mapping ----> Grid Map
(Don't be serious on the below picture. Just for fun.)
Books
- SLAM for dummies
- Multiple View Geometry in Computer Vision [pdf] [matlab code] [course and slides]
这本书基本涵盖了Vision-based SLAM这个领域的全部理论基础！读多少遍都不算多！另外建议配合Berkeley的课件学习。（这本书书后附录也可以一并读完，包括附带bundle adjustment最基本的levenberg marquardt方法，newton方法等）(from zhihu)
- Linear Algebra Done Right
Papers
入门系列 (from zhihu 郑帆的回答)
- Visual Servoing: Part 1, Part 2
- SLAM: Part 1, Part 2
- 6D Vectors: Part 1, Part 2
- Planning: Part 1, Part 2
- Visual Odometry: Part 1, Part 2
- Point Cloud Library: Tutorial
- Quadrotors: Tutorial
Other recommended
- Local Accuracy and Global Consistency for Efficient Visual SLAM
Courses
- Tutorial on Visual Odometry
- Multiple View Geometry (Youtube)
Opensource Blogs & Packages
- OpenSlam: http://openslam.org/ (Most main stream open source slam resource can be found on OpenSLAM, which is a set of packages.)
- MRPT: http://www.mrpt.org/
- Monocular SLAM: https://www.doc.ic.ac.uk/project/2015/163/g1516307/computing_topics_website/index.html
- ORB-SLAM2: https://github.com/raulmur/ORB_SLAM2.git (including the paper and the tutorial)
Dataset
- Tum
- MRP
- Kitti
- ICDL-NUIM