Course Description

"Automated and Connected Driving Challenges (ACDC)" is an advanced-level engineering course that delves into the cutting-edge world of autonomous vehicles and connected driving systems. This comprehensive MOOC offers participants a unique opportunity to explore and contribute to the latest research challenges in the automotive industry. Through hands-on experience with the Robot Operating System (ROS), students will develop practical skills in programming, integrating, and evaluating automated and connected driving functions using popular tools and frameworks.

What Students Will Learn

• Programming automated and connected driving functions using Python and C++
• Integrating developed functions into the Robot Operating System (ROS)
• Training neural networks for environment perception tasks using TensorFlow
• Using essential tools such as Linux, Terminal, Docker, ROS, RVIZ, Jupyter Notebooks, and Git
• Contributing to current research challenges in automated and connected driving
• Evaluating and refining developed functions for optimal performance

Prerequisites

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

Course Coverage

• Introduction to automated and connected driving challenges
• Robot Operating System (ROS1 & ROS2) fundamentals
• Sensor data processing techniques
• Object fusion and tracking methodologies
• Vehicle guidance systems
• Connected driving technologies and applications
• Practical implementation of automated driving functions
• Neural network training for environment perception
• Real-world problem-solving in autonomous vehicle development

Target Audience

• Engineering students with an interest in autonomous vehicles
• Automotive industry professionals seeking to expand their knowledge
• Software developers looking to specialize in automated driving systems
• Researchers in the field of robotics and artificial intelligence
• Anyone passionate about the future of transportation and smart mobility

Real-World Applications

• Developing autonomous vehicle prototypes for automotive companies
• Designing and implementing advanced driver assistance systems (ADAS)
• Creating innovative solutions for smart city transportation
• Contributing to research projects in academic or industrial settings
• Enhancing existing vehicle systems with connected driving capabilities
• Improving road safety through intelligent vehicle technologies
• Optimizing traffic flow and reducing congestion with connected driving solutions

Syllabus

This course offers a unique blend of theoretical knowledge and practical skills, positioning students at the forefront of the rapidly evolving field of autonomous and connected vehicles. By completing this course, participants will be well-equipped to tackle real-world challenges and contribute to the future of transportation technology.