Comparative Study of Monocular Vision and Vision–Language Models for Vessel Height Estimation in Ship–Bridge Collision Prevention
This study presents a vision-based framework for real time ship height estimation from monocular images, which targets the urgent maritime safety challenge of ship–bridge collision prevention. By integrating deep learning, monocular depth estimation, and reference object scaling, we introduce a lightweight, scalable so...