The invention provides a signal lamp control model training method and device, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, large models, computer vision and the like, and can be applied to scenes such as intelligent traffic. According to the specific implementation scheme, the method comprises the steps of obtaining a visual image, an overhead image and traffic information in a preset simulated intersection environment; constructing a plurality of sub-task training samples based on the visual image, the traffic information and a preset entity category; performing first-stage training on a projection layer and a mapping layer in the initial model based on the multiple seed task training samples to generate an intermediate model; constructing a decision reasoning training sample based on the visual image and the aerial view image; and performing second-stage training on the projection layer and the mapping layer in the intermediate model based on a decision reasoning training sample to generate a signal lamp control model.
本公开提供了信号灯控制模型训练方法、装置、电子设备及存储介质,涉及人工智能技术领域,尤其涉及深度学习、大模型、计算机视觉等技术领域,可应用于智能交通等场景。具体实现方案为:在预设的模拟路口环境中,获取视觉图像、俯瞰图像和交通信息;基于视觉图像、交通信息以及预设的实体类别,构建多种子任务训练样本;基于多种子任务训练样本,对初始模型中的投影层和映射层进行第一阶段训练,生成中间模型;基于视觉图像和俯瞰图像,构建决策推理训练样本;基于决策推理训练样本,对中间模型中的投影层和映射层进行第二阶段训练,生成信号灯控制模型。
Signal lamp control model training method and device, electronic equipment and storage medium
信号灯控制模型训练方法、装置、电子设备及存储介质
2025-04-11
Patent
Electronic Resource
Chinese
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