Machine Learning and Artificial Intelligence in Autonomous Vehicles (engl.)
This course focuses on the transformative impact of cutting-edge technologies in the development of self-driving cars. This seminar will cover how AI and machine learning enable vehicles to interpret vast amounts of sensor data, recognize objects, predict movements, and make autonomous decisions. We will explore the integration of neural networks, deep learning, and real-time data analysis in creating sophisticated systems that enhance vehicle perception, navigation, and safety. Attendees will gain insights into the latest advancements, practical applications, and ongoing challenges in the pursuit of fully autonomous transportation.
Requirements: –
Credit Points (ECTS): –
Dr.-Ing. Faezeh Fallah
Faezeh Fallah obtained her bachelor of science degree in electrical engineering with a specialization on telecommunication engineering in 2006. From 2006 up to 2011 she has worked as a designer of radio frequency heads of commercial telecommunication systems based on DVB standards. In 2011–2014 she finished her master of science degree on information technology at the university of Stuttgart and in 2014–2017 she pursued her PhD (Dr.-Ing.) degree in the faculty of electrical engineering and computer science of the university of Stuttgart in the area of artificial intelligence and processing of magnetic resonance images. Since 2017 she is a research and development engineer at Valeo Schalter und Sensoren GmbH working on design of automated object detection and classification on 3D point clouds of LiDAR systems.
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