Multi-Modal Deep Learning Approach for Comprehensive Pavement Condition Evaluation Using Vision-Language Models
Timely and accurate assessment of pavement conditions is essential for roadway safety, infrastructure longevity, and cost-effective maintenance planning. Traditional methods rely heavily on manual inspections, which are labor-intensive, subjective, and limited in scalability. Recent advances in vision-language models (...