Active systems that help avoid accidents and support drivers are the norm. Even the vision of an electronic chauffeur is no longer just an abstract idea. The complexity, connectivity, and considerable safety requirements of these systems place extremely high demands on development, integration, and quality assurance. After all, only the reliable and robust interaction of different safety and driver-assistance systems can pave the way to a more comprehensive means of aiding drivers: This can ultimately lead to highly automated or even autonomous driving on public roads.
Automated driving is an extremely broad topic. It includes computer vision – where ITK specialists teach vehicles to see – as well as a vehicle’s connectivity with its surroundings and even cognitive intelligence, which allows a vehicle to make smart decisions. Automated driving also encompasses established yet increasingly complex topics such as safety and security. In short, this field constitutes a tremendous field of experimentation for engineers, scientists, and computer specialists.
This interdisciplinary field needs professionals from diverse backgrounds. Traditional computer scientists are every bit as important as specialists in model development and sensor systems. Image-processing experts, for example, are needed to help with camera systems. New disciplines are becoming important all the time, such as machine learning.
Work with us to master this complexity and realize the vision of autonomous driving.