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In the latest Innovation Coffee Break by understand.ai, the focus is on automating annotations for autonomous driving. To ensure safe transportation, self-driving vehicles must effectively navigate their environment and handle various real-life challenges. They learn from substantial data, including rare situations, to maintain safe and consistent behavior. A typical use case involves testing a driving function within a vehicle equipped with sensors. By comparing the primary sensors with an additional set mounted on the rooftop, they can evaluate performance against safety standards, thereby enhancing the reliability of autonomous driving systems.