SLAM学习资料存档,包括SLAM基础理论、卡尔曼滤波、组合导航等。
SLAM基础理论
书籍
- 《视觉SLAM十四讲》
- 《自动驾驶中的SLAM技术》
- Factor graphs for robot perception
- A tutorial on SE(3) transformation parameterizations and on-manifold optimization
- Quaternions and Rotations
- A micro Lie theory for state estimation in robotics
- Quaternion kinematics for the error-state Kalman filter
- Probabilistic Robotics
- State Estimation for Robotics – First Edition
- State Estimation for Robotics – Draft Second Edition
- SO(3) and SE(3) Identities and Approximations
- Lie theory cheatsheet
- Multiple view geometry in computer vision
- Modern Robotics
在线位姿转换
GitHub
- gaoxiang12/slambook
- gaoxiang12/slambook2
- gaoxiang12/slambook-en
- gaoxiang12/slam_in_autonomous_driving
- AlbertSlam/Lee-SLAM-source
- jlblancoc/tutorial-se3-manifold
- StevenCui/VIO-Doc
- TurtleZhong/Map-based-Visual-Localization
- PetWorm/IMU-Preintegration-Propogation-Doc
- PetWorm/IMU_error_state_propagation_doc
- norlab-ulaval/cheatsheet_LieAlgebra
- jlblancoc/factor-graphs-course
- gongbingg/slam
- Joanna-HE/Supplementary-file-for-IKFoM
- slam-code/SLAM
- brytsknguyen/slict
- Tompson11/SLAM_comparison
- ganlumomo/VisualInertialOdometry
- brytsknguyen/oblam_deskew
- YZH-bot/SLAM_Box
公开课
- 泡泡机器人
- 深蓝学院
- 自动驾驶之心
- RI Seminar: Michael Kaess: Robust and Efficient Real-time Mapping for Autonomous Robots
- Optimization-based Localization And Mapping-KTH
卡尔曼滤波
网站
- Kalman Filter Tutorial
- The Kalman Filter
- An Introduction to the Kalman Filter
- An Introduction to the Kalman Filter-SIGGRAPH 2001
- Tutorial: The Kalman Filter
- A Kalman Filtering Tutorial for Undergraduate Students
- Extended Kalman Filter Tutorial
- 卡尔曼滤波(Kalman Filter)原理与公式推导-涅索斯衬衫的文章-知乎
- 卡尔曼滤波器(观测器)原理极简介绍-Invictus的文章-知乎
- 卡尔曼滤波Kalman Filter之美在于什么?-自动驾驶之心的回答-知乎
- 简明ESKF推导-半闲居士的文章-知乎
- slam中基于滤波的方法的问题及如何调参?-半闲居士的回答-知乎
- LIO中ESKF相关公式的详尽说明-xiaotaw的文章-知乎
- Computing Jacobian, why error state?——优化中为何对误差状态求导-邱笑晨的文章-知乎
- 简单易懂(?)的误差状态卡尔曼滤波器(Error State Kalman Filter, ESKF)的原理与实现(一)原理简介-llo的文章-知乎
- 简单易懂(?)的误差状态卡尔曼滤波器(Error State Kalman Filter, ESKF)的原理与实现(二)算法实现-llo的文章-知乎
GitHub
MATLAB
Python
- rlabbe/filterpy
- pykalman/pykalman
- commaai/rednose
- zziz/kalman-filter
- enginBozkurt/Error-State-Extended-Kalman-Filter
- diegoavillegasg/IMU-GNSS-Lidar-sensor-fusion-using-Extended-Kalman-Filter-for-State-Estimation
- aipiano/ESEKF_IMU
- soarbear/imu_ekf
- jnez71/kalmaNN
C++
- mherb/kalman
- hmartiro/kalman-cpp
- sfwa/ukf
- hku-mars/IKFoM
- xiahouzuoxin/kalman_filter
- artivis/kalmanif
- je310/ESKF
- jeremyfix/easykf
- pronenewbits/Embedded_EKF_Library
- pronenewbits/Embedded_UKF_Library
- OpenSLAM-org/openslam_MTK
- xinyang-go/eskf
- zha0ming1e/InEKF
组合导航
网站
- 高精度捷联惯性导航算法
- 卡尔曼滤波与组合导航原理【西北工业大学 严恭敏】
- PSINS导航工具箱入门与详解【西北工业大学 严恭敏】
- 武汉大学多源智能导航实验室
- 武汉大学惯性导航课程合集【2021年秋】
- 武汉大学研究生组合导航课程合集【2022年春】
- A Guide To using IMU (Accelerometer and Gyroscope Devices) in Embedded Applications-Starlino Electronics
- An introduction to inertial navigation
- 简明预积分推导-半闲居士的文章-知乎
GitHub
- LiZhengXiao99/Navigation-Learning
- benzenemo/TightlyCoupledINSGNSS
- yandld/nav_matlab
- i2Nav-WHU/Wheel-SLAM
- yuzhou42/GPS-INS-Integrated-Navigation
- jayoungo/SINS-GPS-Integrated-Navigation
自动驾驶
网站
GitHub
- commaai/openpilot
- ApolloAuto/apollo
- autowarefoundation/autoware
- daohu527/dig-into-apollo
- OpenDriveLab/End-to-end-Autonomous-Driving
- OpenDriveLab/Birds-eye-view-Perception
- YannZyl/Apollo-Note
- thomasfermi/Algorithms-for-Automated-Driving
- slam-code/apollo
- nwaysir/Autopilot-Updating-Notes