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Lehrstuhl fr Fahrzeugtechnik Fakultt fr Maschinenwesen Technische Universitt MnchenSemesterarbeit/MasterarbeitInteractionaware prediction: Modelling human behavior through synthetic vision in a 2dimensional
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Collect historical vehicle data including speed, acceleration, braking patterns, and location.
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Predicting vehicle behavior is typically done using data analytics, machine learning algorithms, and sensor data to forecast how vehicles will behave under various conditions.
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Manufacturers and developers of autonomous vehicles and related technologies are generally required to file information on predicting vehicle behavior.
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The purpose is to ensure safety, enhance the reliability of autonomous systems, and comply with regulatory standards.
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Reports must include modeling approaches, data sources, validation results, and any assumptions made during the predictions.
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