Object detection model of vehicle-road cooperative autonomous driving based on improved YOLO11 algorithm
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Researchers have developed an object detection model for vehicle-road cooperative autonomous driving using an improved YOLO11 algorithm. The technology appears to be part of a broader effort to enhance smart city mobility and autonomous driving capabilities, with various related innovations being explored. These advancements may have potential applications in real-world settings, such as public transportation systems, although the specifics of their implementation and effectiveness are unclear.
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