Sensor Fusion and Non-linear Filtering for Automotive Systems

Overview

Explore the exciting world of sensor fusion and non-linear filtering in automotive systems through our comprehensive course. Discover the essence of Bayesian statistics and learn to masterfully combine data from diverse sensors to enhance vehicle safety and navigation.

Designed for those eager to delve into Bayesian statistics, this course shines a spotlight on object positioning challenges, while also offering insights applicable to broader fields. Engage with our rich educational content, including instructive videos, interactive quizzes, and hands-on assignments, enabling you to construct your very own sensor fusion toolbox.

While this course is thorough on its own, we suggest pairing it with ChM015x:

Multi-target Tracking for Automotive Systems for a robust understanding of advanced techniques in perceiving traffic situations around autonomous vehicles using radar, lidar, and camera technologies. Enroll today and start your journey towards mastering sensor fusion and non-linear filtering in automotive systems on edX, under the categories of Artificial Intelligence Courses, Engineering Courses, and Automotive Technology Courses.

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Taught by

Lars Hammarstrand

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Subjects