Multi-Object Tracking for Automotive Systems

2 months
Certification paid
Course by EdX
What will you learn?
A thorough understanding of multi-object tracking (MOT) and its challenge
Expert-level understanding of principles, theory and algorithms in modern MOT.
Extensive know-how for solving various MOT problems in practice.
Valuable experience from implementing different MOT algorithms.
About the course

Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment.

In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters.

The course builds and expands on concepts and ideas introduced in CHM013x: "Sensor fusion and nonlinear filtering for automotive systems". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris.

The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms.

Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.

Multi-Object Tracking for Automotive Systems
Learn how to localize and track dynamic objects with a range of applications including autonomous vehicles
Lennart Svensson
Lennart Svensson
Professor Chalmers University of Technology
Karl Granström
Karl Granström
Postdoc in the Signal Processing group Chalmers University of Technology
Yuxuan Xia
Yuxuan Xia
PhD student Chalmers University of Technology
All the courses on this platform are free of charge. The authors are top universities and corporations that seek to maintain high quality standards. If you do not meet a deadline for assignments, you lose points. Like on other platforms, the videos in which the theory is explained are followed by practical assignments. Courses are available in English, Chinese, Spanish, French and Hindi.
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