Current

Intermediate

Self-Driving Cars Specialization - Sensor Fusion

Coursera · University of Toronto · Updated March 2026

Platform rating

4.4/5

Champ rating

8.2/10

Duration

4 weeks

Classes

36

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

What you'll get

Implement Kalman filters for state estimation

Process LiDAR, camera, and radar data together

Build SLAM systems for robot localization

Course Curriculum

8 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

Linear algebra and probability

Pricing

Subscription

Certification

Certificate

Sensor Fusion

Kalman Filter

LiDAR

Self-Driving

State Estimation

SLAM

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