Automated and Connected Driving Challenges

Explore the Future of Mobility with our ACDC Course! 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 widely-used 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. Enroll now to be at the forefront of innovation in mobility technology!

• contribute to current research challenges in automated and connected driving;
• program functions for automated and connected driving using Python & C++;
• integrate your developed functions into the Robot Operating System;
• train neural networks, e.g. with TensorFlow;
• evaluate your developed functions.

• Basic programming skills with Python and C++ are advantageous
• Basic skills in using Linux and command line interfaces are advantageous