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Autonomous driving technology adapts to complex urban environments by integrating advanced sensor fusion, machine learning algorithms, and real-time data processing. Challenges include navigating dynamic traffic, unpredictable pedestrians, and variable weather conditions. High-definition mapping, vehicle-to-everything (V2X) communication, and robust decision-making AI help vehicles interpret complex scenarios safely. Continuous software updates and extensive simulation training enhance adaptability, while regulatory frameworks evolve to support safe deployment in dense cities, ensuring autonomous vehicles respond effectively to diverse urban challenges.
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