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How to learn about obstacle tracking?

If you consider yourself a beginner, it might be intimidating to learn about LiDAR, Robotics, or Advanced Computer Vision. These two courses on tracking are meant to help you build strong foundations in Robotics and Computer Vision and enable you to make your skills more valuable.

You might already know how to detect bounding boxes, but do you know what to do with these?

Step 1 — LEARN OBSTACLE TRACKING

The first course you should follow is called LEARN OBSTACLE TRACKING.
👉 Why? Because you'll learn how to move from 'I can classify 2D images' to 'I can track obstacles' - it's a core skill in autonomous driving and Computer Vision.
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Step 2 — LEARN KALMAN FILTERS

The second logical step is Kalman Filtering. I have created an excellent course on Kalman Filters to learn about object tracking and be autonomous on the topic.
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