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Course: Self-Driving Cars with ROS 2 and Autoware.Auto

FREE online course starting May 11th: www.apex.ai/academy-autoware.

The Autoware Foundation created an intermediate-level online course led by industry experts using the popular open-source robotics frameworks ROS 2 and Autoware.Auto algorithms. Throughout 14 lectures, the course will cover state-of-the-art techniques that combine hardware, software, algorithms, methodologies, tools, and data analytics.

If you’ve ever been interested in learning how to implement this technology and advance your career, now is your best opportunity. Sign up now, and we’ll notify you when new lectures will be released.

See you in class!

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Second lecture from https://www.apex.ai/autoware-course : ROS 2 101

By @Katherine_Scott :slight_smile:

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Third lecture from https://www.apex.ai/autoware-course : ROS 2 Tooling

By wonderful @Katherine_Scott

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Fourth lecture from https://www.apex.ai/autoware-course : ECU, RTOS and DDS.

By fantastic @sstrahm and @kydos.

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Fifth lecture on architectures for self-driving stacks:

See Autoware in action on the Roboformula on the racing track.

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Sixth lecture from https://www.apex.ai/autoware-course: Autoware 101

Learn more about The Autoware Foundation and our projects, Autoware.AI, Autoware.AUTO, and Autoware.IO.

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Seventh lecture on object perception for self driving cars.

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Hi! First of all, I would like to thank you for this course, it is being awesome so far!

I would like to make a small suggestion though, I would really appreciate it if there were some way of providing the links to the hyper-references in the PDFs… Even if it is just by adding the actual links on the bottom of the slides so we can copy them manually, but I struggled to find some of the suggested contents and even was not able to find others at all.

Also, I would like to make my little contribution sharing the notes I am taking on the course, which I am uploading to my GitHub.

Thanks again and keep on going, you are creating amazing content!

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@jmtc7 It’s slightly inconvenient, but if you download the PDFs, you should be able to click the links.

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8th lecture on the object perception with the camera for self driving cars:

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9th lecture on the object perception with the radar sensor for self driving cars:

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10th lecture on transforms, state estimation, and localization.

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Lecture 11 on LGSVL simulation:

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Lecture 12 on motion planning and control:

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