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.

Skill Level
advanced
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Taught by Industry Pros

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Join the Path to Greatness

This course is your first step towards a new career with the Intro to Self-Driving Car Program.

Nanodegree Course

Self-Driving Car Engineer - Sensor Fusion

byMercedes

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

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Prerequisites and Requirements

C++, Calculus, Linear Algebra

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Rich Learning Content

Interactive Quizzes

Self Paced Learning

Taught by Industry Professionals

 

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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

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