Abstract: This study proposes a vision-based method for flood depth estimation using flooded-vehicle images with a ground-level view. The proposed method is comprised of three main processes: segmentation of vehicle objects, ...

Abstract: Developing deep neural network (DNN) models for computer vision applications for construction is challenging due to the shortage of training data. To address this issue, we proposed a novel data augmentation method that ...