摘要
由于高速公路收费站路面情况复杂,通行车辆作为数字孪生收费站中的核心动态实体,具有数量类型多、轨迹变化率高、交互需求多等特点,而当前以视频识别为核心的数字孪生系统技术架构并不适用于收费站场景.因此,文章针对收费站的特殊场景需求,对数字孪生收费站的核心技术及其融合架构进行研究,通过对模型渲染、时空融合、感知融合、虚实联动等方面的技术优化方向进行研究,为建立精准的数字孪生收费站系统提供方向.
Abstract
Due to the complex road surface conditions of highway toll booths,vehicles,as the core dynamic entities in digital twin toll booths,have characteristics such as a large number of types,high trajectory change rate,and high interaction demand.However,the current digital twin system technology architecture based on video recognition is not suitable for toll booth scenarios.Therefore,this article focuses on the special scene requirements of toll stations,and studies the core technology and fusion architecture of digital twin toll stations.By studying the technical optimization directions in model rendering,spatiotemporal fusion,perception fusion,virtual real linkage,etc.,it provides direction for establishing an accurate digital twin toll station system.
维普
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