Yue Yao is a skilled professional with a diverse background in autonomous driving and machine learning. Notable experiences include an internship at AUDI AG focused on the development of driver assistance systems, followed by a master's thesis at Continental that involved the creation of data-based predictive models for vehicle states and a patent related to exhaust temperature prediction. As a Machine Learning Engineer at ZF Group, Yue contributed to algorithm development for situation assessment in Level 4 autonomous driving. Current research as a PhD candidate at Freie Universität Berlin focuses on traffic scene prediction using polynomial representations, with multiple publications in the field. Yue holds a Master of Science in Mechanical Engineering from Karlsruher Institut für Technologie and a Bachelor of Science in Automotive Engineering from Wuhan University of Technology.
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