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Optimizing the detection of emergency vehicles is a key part of intelligent transportation systems to maintain safety and decrease reaction times. The aim of this work, we offer a strategy that applies the YOLOv8 algorithm with a custom dataset to control items such as traffic lights, hospital doors, and other obstacles to make the passage smoother and more secure.
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DOI: 10.1145/3607720.3607728
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