Highway Foreign Body Intrusion Detection System Based on Deep Learning  

作　　者：Zihang Wang Xudong Wang Shaolong Wang Zhen Du Xudong Pan 

机构地区：[1]School of Civil Engineering and Transportation,Northeast Forestry University,Harbin 150040,China [2]School of Computer and Control Engineering,Northeast Forestry University,Harbin 150040,China

出　　处：《Journal of Electronic Research and Application》2024年第6期1-7,共7页电子研究与应用

摘　　要：This paper introduces the expressway intrusion detection system based on deep learning to improve traffic safety.The system adopts deep learning,image recognition,and foreign body detection technology to monitor the road condition in real-time through lidar and binocular camera groups to detect and distance the foreign body on the road.The system visualizes the detection results on the onboard screen to assist the driver to avoid and improve the safety of highway driving.In addition,the system also includes emergency braking,blind spot monitoring,lane departure warning,and other functions.The system has wide application prospects and development potential and is expected to be widely used in the future,providing a strong guarantee for the safe operation of expressways in China.

关 键 词：Deep learning Assisted driving Traffic safety 

分 类 号：TN9[电子电信—信息与通信工程]