Sensor Fusion and Multi-Object Tracking Professional Certificate

What you will learn:
- Model common sensors, and their measurements.
- Implement key nonlinear filters, to solve problems with motion and/or sensor models.
- Principles, theory and algorithms in modern Multi-Object Tracking.
- Solving various Multi-Object Tracking problems in practice.

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Sensor Fusion and Non-linear Filtering for Automotive Systems (edX)

Learn fundamental algorithms for sensor fusion and non-linear filtering with application to automotive perception systems. In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different [...]

Multi-Object Tracking for Automotive Systems (edX)

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