with ROS and Autoware
hosted by Apex.AI
Self-driving cars will transform the way we travel and commute.
This technology merges robotics, machine learning, engineering,
and modern software development methods.
What is the course about?
Developing production-grade autonomous driving systems require a stack of interrelated technologies. This course brings together all the significant parts into a practical step-by-step guide to architect, develop, test, and deploy an autonomous system.
This intermediate-level course using the popular open-source robotics frameworks ROS 2 and Autoware.Auto algorithms and covers through the course of 14 lectures, state-of-the-art techniques that combine hardware, software, algorithms, methodologies, tools, and data analytics.
What will I learn?
You’ll learn a modern approach to developing complex systems for autonomy that the most innovative automotive companies are adopting. The teachers are experienced professionals who have contributed open-source materials moving the industry towards higher standards of design, engineering, and safety.
Who should take the course?
This is an intermediate-level course for individuals who develop pre-production autonomous driving systems. Participants should have knowledge of C++ (including testing), robotics frameworks, and system integration.
The presentations/training themselves are licensed under the Creative Commons Attribution 3.0 Unported License (CC BY 3.0). Any video of the presentation posted on YouTube is licensed for use under the YouTube license. Any videos posted on a platform other than YouTube are licensed for use under the Creative Commons - Attribution-ShareAlike 3.0 License. (CC BY SA 3.0). Any data sets hosted by Apex.AI for the course are licensed under The Creative Commons Attribution 3.0 Unported License (CC BY 3.0). If the data set is hosted outside of our site under a different license it will be clearly labeled as such.
Any software/source code is licensed under the Apache 2.0 license.