注：大学生创新创业基金（NO. 5102010803）
作者：蒋泽鑫，侯明，陈培锡，张治康
单位：北京信息科技大学，北京 100192
中图分类号：TP391.4              
文献标识码：A              
文章编号：1006-883X(2021)02-0023-05
收稿日期：2020-11-27

摘要：为对智能交通系统进行研究，针对人、车及路的矛盾设计制作了一套低成本的实验室级别的智能交通系统装备。该系统包括小型城市模拟场景和智能小车，根据OpenMV的机器视觉模块，通过OV7725摄像头采集实时路况信息，以STM32单片机作为系统的控制核心，采用图像识别算法实现对智能小车行驶速度与方向的控制。通过调试验证，实现了模拟环境中小车自主巡线行驶、对红绿灯信号作出反应以及实时避障等功能，系统具有一定的实时性、安全性和可靠性。
关键词：智能交通系统；智能小车；图像识别；OpenMV

Intelligent Transportation Equipment Based on OpenMV
JIANG Zexin, HOU Ming, CHEN Peixi, ZHANG Zhikang
Beijing Information Science & Technology University, Beijing 100192, China
Abstract: Briefly introduce the significance of researching intelligent transportation systems. In order to conduct research on intelligent transportation systems, a set of low cost laboratory level intelligent transportation system equipment is designed and manufactured according to the contradiction between people, vehicles and roads. The system includes a small city simulation scene and a smart car. According to the OpenMV machine vision module, real-time road condition information is collected through the OV7725 camera. The STM32 microcontroller is used as the control core of the system. The image recognition algorithm is used to control the speed and direction of the smart car. Through debugging and verification, the functions of autonomous car patrol, response to traffic light signals and real-time obstacle avoidance in the simulated environment are realized. The system has certain real-time, safety and reliability.
Key words: intelligent transportation system; intelligent car; image identification; OpenMV

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备注：2021年 第27卷 第02期