CARIAD
Cheng Fang is a Machine Learning Engineer at CARIAD, specializing in end-to-end autonomous driving and environment modeling since October 2020. Previous roles at CARIAD include Software Engineer focused on algorithm development for sensor fusion and situation interpretation within advanced driver assistance systems (ADAS). Cheng has experience as a Product Owner for V2X initiatives. Prior to CARIAD, Cheng worked as a Student Assistant at Karlsruher Institut für Technologie, developing a visual-inertial odometry system for autonomous vehicles, and completed an engineering internship at Daimler AG, focusing on software development in active safety systems. Cheng holds a Master of Science in Mechanical Engineering from Karlsruhe Institute of Technology and a Bachelor of Science in Mechanical Engineering from Hefei University of Technology.
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CARIAD
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CARIAD is an automotive software company that develops exceptional digital automotive features such as ADAS solutions, a standardized infotainment platform, software functions for connecting powertrains, chassis, and charging technology, as well as new ecosystems and digital business models in and around the vehicle. CARIAD was founded in 2020.