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In this edition of Innovation Coffee Break hosted by understand.ai, the focus is on automating annotations for autonomous driving. To ensure that self-driving vehicles can safely transport passengers, they must effectively navigate various real-life challenges, requiring vast data sets. Autonomous vehicles learn from this data and must be trained on numerous unique scenarios to ensure they respond appropriately in all situations. A typical use case involves implementing a driving function in a vehicle equipped with multiple sensors to test safety standards, utilizing an additional sensor set placed on the car’s rooftop to enhance data collection and evaluation.