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Scientific teaching on self-driving cars and deep learning covers the evolution of self-driving cars, big data and big-sensed data, and deep learning for object detection and scene perception. It provides an overview of historical background, advantages, and disadvantages, levels of automation, communication between entities, role of big data, collecting big data, multimodal sensor fusion, road scene analysis, polarimetric images for scene perception, deep learning architectures,...