About The Speaker
Florian Netter
Driving fully autonomously in urban environment – which is the mission from AID – brings new challenges for the automotive industry. Cumbersome feature extraction and algorithm design which require years of experience in the field are increasingly often outperformed by Deep Learning models, so AI plays an important role in this field. This session is intended to give an overview of architectural approaches involved with robotaxis, especially on the sw stack enhanced with AI models, car compute platform and sw/hw integration.
Empowering Autonomous Driving – Challenges and Technologies
Driving fully autonomously in urban environment – which is the mission from AID – brings new challenges for the automotive industry. Cumbersome feature extraction and algorithm design which require years of experience in the field are increasingly often outperformed by Deep Learning models, so AI plays an important role in this field. This session is intended to give an overview of architectural approaches involved with robotaxis, especially on the sw stack enhanced with AI models, car compute platform and sw/hw integration.
Florian Netter studied Electrical Engineering and Information Technology at the University of Applied Sciences in Ingolstadt. After that he joined the Audi Electronics Venture GmbH in 2003 as a Software Engineer. In 2013 he became responsible for the Software Competence Center, where he did research on new software technologies in the field of distributed embedded/IT systems and architectures to artificial intelligence. Since April 2018 he is working as a Tech Lead for Compute Hardware at AID focusing on fully autonomous driving in urban environments. Florian has published multiple article and gave many presentations about autonomous driving technologies on international conferences. With other colleagues he is organizing the autonomous driving meetups in Munich, Ingolstadt and Shanghai.