The invention relates to the technical field of electric digital data processing, and discloses an expressway vehicle detection method and system based on computer vision, and the method comprises the steps: environment classification and recognition: recognizing the updated environment classification level of a certain expressway section position planned to drive according to the position; data acquisition and preprocessing: sequentially performing three links of data acquisition, data screening and data labeling, and preprocessing the acquired data according to different environmental classification levels of the highway section to obtain initial image data; selecting a vehicle detection model according to the current grade of the environment classification of a certain highway section, and if the current grade of the environment classification is a fourth-grade environment, performing detection by adopting an existing vehicle detection model; if the environment classification is a specific classification, adopting an improved detection model; and detecting and identifying vehicles on the highway according to the selected model, and feeding back a detection result. The method can give consideration to the detection precision and the calculation amount, and provides the optimal detection according to the actual situation.
本发明涉及电数字数据处理技术领域,公开了一种基于计算机视觉的高速公路车辆检测方法及系统,包括环境分类识别,根据计划行驶的某一高速公路路段位置,识别其当天更新的环境分类等级;数据采集与预处理,依次经过数据采集、数据筛选和数据标注三个环节,根据所处高速公路路段的环境分类等级不同,对采集数据进行预处理后得到初步图像数据;根据某一高速公路路段环境分类的当前等级选择车辆检测模型,若环境分类的当前等级为第四级环境时,采用现有的车辆检测模型进行检测;若环境分类为特定分类时,则采用改进检测模型;根据选择的模型检测识别高速公路上的车辆,并反馈检测结果。本发明能够兼顾检测精准度和计算量,根据实际情况提供最佳检测。
Highway vehicle detection method and system based on computer vision
一种基于计算机视觉的高速公路车辆检测方法及系统
2025-03-14
Patent
Electronic Resource
Chinese
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