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Self-Driving Car Engineer - Sensor Fusion


Fusing Lidar and Radar Data

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Nanodegree Program

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About this Course

Vehicles use many different sensors to understand the environment. Sensor fusion uses different types of Kalman filters - mathematical algorithms - to combine data from these sensors and develop a consistent understanding of the world.

Course Cost
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Rich Learning Content

Interactive Quizzes

Taught by Industry Pros

Self-Paced Learning

Student Support Community

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Free Course

Self-Driving Car Engineer - Sensor Fusion


Enhance your skill set and boost your hirability through innovative, independent learning.

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Prerequisites and Requirements

C++, Calculus, Linear Algebra

See the Technology Requirements for using Udacity.

Why Take This Course

By the end of this course, you will be able to program Kalman filters to fuse together radar and lidar data to track an object. You will be able to build extended Kalman filters and unscented Kalman filters to fuse together nonlinear data.

What do I get?
Instructor videosLearn by doing exercisesTaught by industry professionals