SLAM
Course Index
29 Lessons · 3 Sections
Master Simultaneous Localisation and Mapping — EKF-SLAM, FastSLAM, GraphSLAM, SLAM Toolbox, ORB-SLAM3, LIO-SAM, and RTAB-Map in ROS2. Covers 2D & 3D LiDAR SLAM, visual SLAM, neural SLAM & 4 production builds.
29Lessons
3Sections
4Projects
FreeAccess
Section 1SLAM Theory & Core AlgorithmsLessons 1–10
Lesson 1
What is SLAM?
Lesson 2
The SLAM Problem: Localisation & Mapping
Lesson 3
SLAM Front-End & Back-End Architecture
Lesson 4
Occupancy Grid Maps
Lesson 5
Feature Extraction & Matching
Lesson 6
Loop Closure Detection
Lesson 7
Pose Graph Optimisation
Lesson 8
EKF-SLAM
Lesson 9
Particle Filter SLAM (FastSLAM)
Lesson 10
GraphSLAM
Section 2SLAM Algorithms & ToolsLessons 11–22
Lesson 11
2D LiDAR SLAM: gmapping
Lesson 12
2D LiDAR SLAM: Cartographer
Lesson 13
SLAM Toolbox in ROS2
Lesson 14
Visual SLAM: ORB-SLAM3
Lesson 15
Visual-Inertial SLAM: VINS-Mono
Lesson 16
3D LiDAR SLAM: LOAM & LeGO-LOAM
Lesson 17
LiDAR-Inertial SLAM: LIO-SAM
Lesson 18
RTAB-Map: RGB-D & 3D SLAM
Lesson 19
Hector SLAM for Drones
Lesson 20
SLAM Datasets & Benchmarks
Lesson 21
Deep Learning SLAM: NeRF & Neural SLAM
Lesson 22
Multi-Robot SLAM
Section 3Advanced SLAM & ProjectsLessons 23–29