节点文献
基于深度学习的重载车辆检测与识别
Heavy Vehicle Detection and Recognition Based on Deep Learning
【摘要】 基于深度学习算法,在交通中不同路况中对重载车辆进行检测与流量统计问题有待解决。首先对YOLOv4原理及主要算法进行介绍;之后进行了数据集的标注等预处理,将数据输入到YOLOv4模型中进行训练;最后对实验结果进行了一定的分析,并进行了模型检测,实验效果较好。该算法基本能够实现对不同路况中重载车辆的检测和流量统计。
【Abstract】 Based on deep learning algorithms, the detection and flow statistics of heavy vehicles in different road conditions in traffic have yet to be resolved. First, the principle and main algorithms of YOLOv4 are introduced; then the data set is preprocessed such labeling and input the data into the YOLOv4 model for training; finally, the experimental results are analyzed to a certain extent,and the model is tested. The results are relatively good. This algorithm can basically realize the detection and traffic statistics of heavy vehicles in different road conditions.
【Key words】 heavy vehicle detection; object detection; YOLOv4; deep learning; artificial intelligence;
- 【文献出处】 电脑知识与技术 ,Computer Knowledge and Technology , 编辑部邮箱 ,2021年35期
- 【分类号】TP18;TP391.41;U495
- 【下载频次】78