Images acquired by UAV can be analyzed for resource management on construction sites. However, analyzing the construction site images acquired by UAV is difficult due to the characteristics of UAV images and construction site images. This paper proposes an image augmentation method to improve the performance of an object detection model for construction site images acquired by UAV. The method consists of three techniques: intensity variation, image smoothing, and scale transformation. Experimental results show that the method can improve the performance of the detection model (Faster R-CNN) by achieving a recall and a precision of 53.08% and 66.76%, respectively. With future studies, the method is expected to contribute to UAV-based resource management on construction sites.
With the increase of construction robots, the future construction environments are expected to become spaces where various workforce and robots will closely collaborate together(human-robot collaboration). However, current ways of collaboration between people and robots, which lacks an empathy, can hinder the successful fulfillment of the technical potential of construction robots. Therefore, this paper introduces various studies of the DPM (Dynamic Project Management) Lab at the University of Michigan to realize active and harmonious collaboration through empathy for humans of robots. Empathetic construction robots based on these studies are expected to contribute to the development of the construction industry in a more productive and safe direction by creating a favorable and worker-friendly construction environment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.