Automated and Connected Driving Challenges

University of Vigo via edX

Overview

Explore the forefront of automotive innovation with the “Automated and Connected Driving Challenges” MOOC offered by the University of Vigo and available on edX. This comprehensive course dives into the critical aspects of automated and connected driving, a rapidly evolving area in automotive research and industry. Participants will gain firsthand experience in the latest research challenges, developing and testing automated and connected driving functions progressively.

Starting with an in-depth introduction to the Robot Operating System (ROS), a pivotal software framework for vehicle prototype automation, learners will progressively acquire skills in developing and integrating various modules. These include sensor data processing, object fusion & tracking, vehicle guidance, and connected driving functionalities. The course is structured to enhance expertise in:

Creating functions for automated and connected vehicles using Python and C++ programming languages.
Seamlessly integrating these developed functions into the Robot Operating System (ROS).
Mastering neural network training for environmental perception tasks with TensorFlow.
Gaining proficiency in essential tools such as Linux, Terminal, Docker, ROS, RVIZ, Jupyter Notebooks, and Git.

By the end of this engaging MOOC, participants have the option to select from a curated list of open research challenges, offering them the chance to make their own contributions to the field of automated and connected driving. This course is ideal for those interested in Python, Neural Networks, TensorFlow, Autonomous Vehicles, and C++ Courses, providing a unique opportunity to dive deep into the technology driving the future of transportation.