AI Skillset Course
Sensor Fusion: LiDAR, Camera and Radar for Self-Driving image
Current
Intermediate

Sensor Fusion: LiDAR, Camera and Radar for Self-Driving

Udemy · Dr. Andreas Haja · Updated March 2026

Platform rating

4.4/5

Champ rating

8.2/10

Duration

10 hours video

Classes

68

Master multi-sensor fusion for autonomous vehicles: combine LiDAR point clouds, camera images, and radar data for robust perception.

What you'll get

Process LiDAR, camera, and radar data together
Design real-time multi-sensor fusion pipelines
Integrate GPS and IMU for positioning systems

Fit

Best for

Autonomy Engineers
Self-Driving Developers
IoT Engineers
Systems Engineers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

C++ and basic linear algebra

Pricing

$14.99

Certification

Certificate

Sensor Fusion
LiDAR
Camera
Radar
Self-Driving
C++
Go to Course

Alternatives to Sensor Fusion: LiDAR, Camera and Radar for Self-Driving

Current

Sensor Integration with NVIDIA DRIVE

NVIDIA Deep Learning Institute (DLI) · NVIDIA

4.6
8.5/10
4 hours self-paced

Learn sensor integration for autonomous vehicles using NVIDIA DRIVE. Cover camera, lidar, and radar fusion for self-driving systems.

$30
View
Current

Self Driving and ROS 2 - Map & Localization

Udemy · Antonio Brandi

4.4
8.2/10
25 hours video

Create a ROS2 Self-Driving robot with Python and C++. Master Robot Localization, Mapping and SLAM.

$12.99
View
Current

Self-Driving Cars Specialization - Sensor Fusion

Coursera · University of Toronto

4.4
8.2/10
4 weeks

State estimation and localization for self-driving cars from University of Toronto covering Kalman filters, LiDAR, and sensor fusion techniques.

Subscription
View
Current

Kalman Filters & State Estimation for Robotics

Udemy · Robotic Systems Lab

4.4
8.2/10
6 hours video

Comprehensive course on Kalman filters, extended Kalman filters, and unscented Kalman filters for robotics state estimation and tracking.

$13.99
View