Digitalization in the construction sector is a need of the modern world. Not only the
infrastructure, but also the quality of life, is improved by the digital transformation in the …

Visual data comprising images and videos has become an integral aspect of construction
management, potentially supplanting traditional paper-based site documentation. With the …

This paper proposes a framework to automatically determine the productivity and
operational effectiveness of an excavator. The method estimates the excavator's actual …

Applying deep learning algorithms in the construction industry holds tremendous potential
for enhancing site management, safety, and efficiency. The development of such algorithms …

Graph convolution networks (GCNs) have been extensively researched for action
recognition by estimating human skeletons from video clips. However, their image sampling …

This paper proposes an automatic method for excavator working cycle recognition using
supervised classification methods and motion information obtained from four inertial …

The code requirements on drawing up construction design documents do not provide any
method of evaluating the mechanical facilities for compliance with the requirements of a …

Abstract The integration of Artificial Intelligence (AI) and Machine Learning (ML) into civil
engineering is revolutionizing the field, providing advanced solutions for data-driven …

One of the most concerning factors arising out of traffic overflow is the increase in number of
accidents due to violations of traffic rules leading to severe losses with life money and …

This thesis presents a novel approach to earthwork progress monitoring on construction
sites using Unmanned Aerial Vehicles (UAVs), machine learning, and computer vision …