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This article discusses the use of deep learning-based methods in intelligent vehicles, which have greatly improved their capabilities in tasks such as safe driving, obstacle avoidance, and decision making. The article also highlights the potential for future applications of intelligent vehicles and the importance of various factors such as environment, driver state, and communication in their operation.
