Michael Karg is a Principal Engineer specializing in Machine Learning and Technical Architecture for Perception at Continental, where they have developed expertise in Machine Learning for Sensor Fusion. With 5 years of experience in Deep Learning for autonomous driving perception, Michael has worked on projects such as monocular depth and motion estimation, lost cargo detection using radar data, and the creation of a Structure From Motion component. Currently, they are focused on low-level fusion of radar and camera data to enhance 3D-object detection capabilities. Michael holds a Diplom in Economic Mathematics with a specialization in Computer Science from Universität Ulm.
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