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): –
Özge Köktürk, M.Sc.
B.Sc. – major degree in Industrial Engineering, B.Sc. – double major degree in Computer Engineering at Cankaya University, Turkey. Still, M.Sc. degree with a thesis in Data Informatics at Middle East Technical University, Turkey. From 2019 to 2022, I gained experience as a Configuration Management Specialist at KAREL Electronics in Turkey, where I contributed to defense and automotive projects. Then, I took part as Configuration Manager at SMR Automotive Mirror Systems GmbH representing Da Vinci Engineering GmbH in Stuttgart, Germany as working on automotive digital vision systems projects especially Camera Monitoring Systems (CMS) between 2022 – 2024. Currently, I work at Mercedes – Benz AG as Configuration Manager in Böblingen, Germany. I study Artificial Intelligence, Data Science, Internet of Things, Machine Learning, and Software Project Management methodologies.
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