Automated and connected driving is a major topic in automotive research and industry at the moment. The MOOC "Automated and Connected Driving Challenges (ACDC)" introduces participants to some of the latest research challenges and provides the possibility to develop and test automated and connected driving functions step by step.
This course first provides a comprehensive introduction to the Robot Operating System (ROS), which is a popular software framework for automated vehicle prototypes. On this basis, participants then learn how to develop and integrate modules for sensor data processing, object fusion & tracking, vehicle guidance, and connected driving. In particular, this MOOC allows participants to
- develop functions for automated and connected vehicles using Python and C++;
- integrate their developed functions into the Robot Operating System (ROS);
- train neural networks for environment perception tasks using TensorFlow;
- learn how to use tools like: Linux, Terminal, Docker, ROS, RVIZ, Juypter Notebooks, Git.
At the end of the course, you may optionally choose from a provided list of open research challenges and start working on your own contribution to automated and connected driving.
