A Hybrid Deep Learning Model for Concurrent Lane Detection and Pavement Distress Analysis
The increasing volume of vehicular traffic and the progressive deterioration of road infrastructure demand intelligent and automated monitoring systems to enhance road safety and support timely maintenance. This paper presents AutoMed, a unified deep learning framework designed for real-time lane boundary detection and...