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ChalmersX: Multi-Object Tracking for Automotive Systems

Learn how to localize and track dynamic objects with a range of applications including autonomous vehicles

10 weeks
10–20 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

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Starts Mar 19

About this course

Skip About this 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.

At a glance

  • Institution: ChalmersX
  • Subject: Engineering
  • Level: Advanced
  • Prerequisites:

    ChM013x: Sensor Fusion and Non-linear Filtering for Automotive Systems

  • Language: English
  • Video Transcript: English
  • Associated programs:
  • Associated skills:Algorithms, Biology, Maintenance/Operations And Transportation, Sensor Fusion

What you'll learn

Skip What you'll 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.

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

This course is part of Sensor Fusion and Multi-Object Tracking Professional Certificate Program

Learn more 
Expert instruction
2 skill-building courses
Self-paced
Progress at your own speed
5 months
10 - 20 hours per week

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