Abstract: Robotic solutions have garnered increased attention from the construction industry as an effective means of improving construction safety and productivity. However, in deploying such robots to real fields many safety ...

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 ...

Abstract: From a managerial perspective, prediagnosis of emergency response potential and decision support during rescue operations are essential for improving emergency response capability. Toward this end, this paper introduces a ...