首页|基于YOLO的精准制导交通系统的设计与实现

基于YOLO的精准制导交通系统的设计与实现

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随着互联网技术和交通信号调控技术的进步,智慧交通迅速兴起,通过收集各路口的摄像头数据并进行数据整合,用户能够清晰地看到实时交通数据,但是传统的智慧交通系统存在对环境变化的敏感性较差、鲁棒性不足,且计算时间过长等缺点.详细阐述了基于YOLO的精准导向交通系统的设计与实现,利用YOLO模型对车辆进行识别与判断,使用户能够实时且全面地掌握每个路口的交通情况,提高了通行效率.
Design and Implementation of Precision Guided Transportation System Based on YOLO
With the progress of internet technology and traffic signal control technology,intelligent trans-portation is rapidly emerging.Users can clearly get real-time traffic data by collecting and integrating cam-era data at each intersections.However,traditional intelligent transportation systems are less sensitive to environmental changes,lack robustness,and have long computing time.The design and implementation of a precision guided transportation system based on YOLO are elaborated in detail.The YOLO model is used to recognize and judge vehicles,enabling users to have real-time and comprehensive understanding of the traffic situation at each intersection and improving traffic efficiency.

YOLOtransportation systemdatabasePyQtPython

陈世发、李天祥、李晓茹、张华、邓肯

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长春工程学院,长春 130012

长白山历史文化与VR技术重构吉林省重点实验室,长春 130012

华北理工大学 冀唐学院,河北 唐山 063200

吉林大学 计算机科学与技术学院,长春 130012

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YOLO 交通系统 数据库 PyQt Python

2024

长春工程学院学报(自然科学版)
长春工程学院

长春工程学院学报(自然科学版)

影响因子:0.328
ISSN:1009-8984
年,卷(期):2024.25(4)