The course, developed in cooperation with ZF Automotive Systems Poland, covered the process of designing sensors and algorithms responsible for implementing driver assistance functions. Particular attention was paid to convolutional neural networks, image segmentation and object tracking methods used in ADAS systems.
During the session, the requirements imposed on modern driver assistance systems by applicable regulations and organisations responsible for assessing vehicle safety were also presented.
The theoretical part of the course was complemented by a presentation of a test vehicle equipped with specialised equipment for recording data used during the testing of ADAS systems prior to their implementation in production.
The class provided an opportunity to gain insight into the practical application of artificial intelligence in the automotive industry, as well as into current development trends in technologies supporting road safety.
