Current

Intermediate

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

Udemy · Dr. Andreas Haja · Updated March 2026

Platform rating

4.4/5

AI Tutor 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

Course Curriculum

7 chapters

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

Growth Leverage: Completing this course positions you for roles such as Sensor Fusion Engineer, Perception Engineer, or Systems Engineer in the autonomous vehicle industry, opening doors to companies like Tesla, Waymo, and autonomous startups that prioritize advanced sensor integration.

Skills Value: Proficiency in multi-sensor fusion techniques elevates your value in the job market, with demand surging as autonomous technologies advance; professionals in this field can command salaries exceeding $120,000 annually due to their specialized skill set.

Sensor Fusion

LiDAR

Camera

Radar

Self-Driving

C++

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