Highway Foreign Body Intrusion Detection System Based on Deep Learning

Abstract

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.