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基于YOLO算法的智能交通灯控制系统模型
资料介绍
设计了一种基于YOLO算法实现嵌入式系统控制交通信号灯及路灯的新型装置。该设备使用摄像头捕获视频,通过OpenCV对视频进行预处理,YOLOV3算法作为识别算法和定位算法检测并判定图像中车辆的相对位置及数量,利用STM32单片机改变左转和直行的通行时间,从而实现智能控制。经实验仿真验证,该设备可提高当前道路的通行能力,缓解交通压力。
In the paper,a new device based on YOLO algorithm is designed to control traffic lights and street lights in embedded system. The device captures video by camera,preprocesses the video by OpenCV, detects and determines the relative position and number of vehicles in the image using YOLO V3 algorithm as recognition algorithm and location algorithm,and changes the time of left turn and direct travel by single chip computer,so as to realize intelligent control.The simulation results show that the equipment can improve the current road capacity and relieve traffic pressure.
部分文件列表
| 文件名 | 大小 |
| 基于YOLO算法的智能交通灯控制系统模型.pdf | 1M |
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