基于计算机视觉的车道识别及驾驶状态监测方法  

Lane recognition and driving condition monitoring method based on computer vision

作　　者：贾文洋 王鹏举 吴文祥 刘朋[1] JIA Wenyang;WANG Pengju;WU Wenxiang;LIU Peng(Zhonghuan Information College Tianjin University of Technology,Tianjin 300380,China)

机构地区：[1]天津理工大学中环信息学院,天津300380

出　　处：《计算机应用文摘》2022年第12期87-90,共4页Chinese Journal of Computer Application

基　　金：天津理工大学中环信息学院2021年天津市大学生创新创业训练计划项目:基于计算机视觉的驾驶辅助与监控系统的设计与实现(202113897007)。

摘　　要：文章介绍了利用计算机视觉技术实现车载摄像头对车道识别分析、驾驶员驾驶状态实时监控的监测方法,并将监测方法结合具体应用场景开展实践研究;通过OpenCV实现了驾驶员人脸识别和道路直线检测,为驾驶员驾驶提供一定辅助功能;使用Yolov5进行疲劳检测和对手机、水杯等物品进行检测,以提高驾驶员专注程度和驾驶安全性。This paper mainly discusses the monitoring method of lane recognition analysis and real-time monitoring of driver driving status by vehicle-mounted camera using computer vision technology,and carries out practical research by combining the monitoring method with specific application scenarios.Driver face recognition and road straight line detection are implemented through OpenCV to provide certain auxiliary functions for driver driving.Fatigue detection and detection of objects such as cell phones and water glasses are performed by using Yolov5 to improve driver concentration and enhance driving safety.

关 键 词：计算机视觉 OPENCV 车道识别 驾驶状态监测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]