Sensor Fusion Course Index — Dataplexa

Sensor Fusion
Course Index

28 Lessons · 3 Sections

Master sensor fusion for autonomous systems — Kalman Filter, EKF, UKF, Particle Filter, IMU+GPS fusion, LiDAR-Camera fusion, and ROS2 robot_localization. Covers visual odometry, multi-object tracking, AV perception & 3 production builds.

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28Lessons

3Sections

3Projects

FreeAccess

Section 1Probability, Filtering Foundations & SensorsLessons 1–10

What is Sensor Fusion?

Sensor Types: IMU, LiDAR, Camera & GPS

Probability & Gaussian Distributions

Bayesian Filtering

Kalman Filter: Linear Systems

Extended Kalman Filter (EKF)

Unscented Kalman Filter (UKF)

Particle Filter

IMU: Accelerometers & Gyroscopes

Sensor Calibration & Intrinsics

Section 2Multi-Sensor Fusion TechniquesLessons 11–22

IMU + GPS Fusion

Camera Calibration & Stereo Vision

Visual Odometry

LiDAR Point Cloud Processing

LiDAR + IMU Fusion

Camera + LiDAR Fusion

Radar in Sensor Fusion

Time Synchronisation & Data Alignment

robot_localization Package in ROS2

State Estimation for Autonomous Vehicles

Multi-Object Tracking

Deep Learning for Sensor Fusion

Section 3Applications & ProjectsLessons 23–28

Autonomous Vehicle Perception Stack

Sensor Fusion for Drones

Evaluation Metrics: RMSE & OSPA

Build a Kalman Filter from Scratch

Build an IMU + GPS Fusion System

Build a LiDAR-Camera Fusion Pipeline

Ready to Start?

Sensor Fusion Course Index

Start Course →← Back to Learning Hub