Artificial Intelligence Methods for the Construction and Management of Buildings

S Ivanova, A Kuznetsov, R Zverev, A Rada - Sensors, 2023 - mdpi.com
Artificial intelligence covers a variety of methods and disciplines including vision, perception,
speech and dialogue, decision making and planning, problem solving, robotics and other …

A review of unmanned aerial vehicle applications in construction management: 2016–2021

AA Molina, Y Huang, Y Jiang - Standards, 2023 - mdpi.com
With the rapid advancement of Unmanned Aerial Vehicle (UAV) technologies in recent
years, their uses have been increasingly adopted in the architecture, engineering, and …

Automatic volume calculation and mapping of construction and demolition debris using drones, deep learning, and GIS

Y Jiang, Y Huang, J Liu, D Li, S Li, W Nie, IH Chung - Drones, 2022 - mdpi.com
This paper presents a time-and cost-efficient method for the management of construction
and demolition (C&D) debris at construction sites, demolition jobsites, and illegal C&D waste …

Scan2drawing: use of deep learning for as-built model landscape architecture

S Han, Y Jiang, Y Huang, M Wang, Y Bai… - Journal of …, 2023 - ascelibrary.org
This paper presents an innovative and fully automatic solution of generating as-built
computer-aided design (CAD) drawings for landscape architecture (LA) with three …

Mapping invasive aquatic plants in sentinel-2 images using convolutional neural networks trained with spectral indices

EC Rodríguez-Garlito, A Paz-Gallardo… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Multispectral images collected by the European Space Agency's Sentinel-2 satellite offer a
powerful resource for accurately and efficiently mapping areas affected by the distribution of …

Vision-based modal analysis of built environment structures with multiple drones

M Bolognini, G Izzo, D Marchisotti, L Fagiano… - Automation in …, 2022 - Elsevier
Abstract Unmanned Aerial Vehicles are employed for vision-based modal analysis of civil
infrastructure, as they overcome range limitations of fixed cameras and measure the …

Building and infrastructure defect detection and visualization using drone and deep learning technologies

Y Jiang, S Han, Y Bai - Journal of Performance of Constructed …, 2021 - ascelibrary.org
This paper presents an accurate and stable method for object and defect detection and
visualization on building and infrastructural facilities. This method uses drones and cameras …

[HTML][HTML] Automatic concrete sidewalk deficiency detection and mapping with deep learning

Y Jiang, S Han, D Li, Y Bai, M Wang - Expert Systems with Applications, 2022 - Elsevier
Vertical displacement is a common concrete slab sidewalk deficiency, which may cause trip
hazards and reduce wheelchair accessibility. This paper presents an automatic approach for …

Strategies to achieve high adoption of organizational change initiatives within the AEC industry

O Maali, N Kepple, B Lines - Journal of management in engineering, 2022 - ascelibrary.org
Organizations must be adept at managing the adoption of change initiatives. However, it is
argued that more than half of change adoption efforts fail to reach their objectives. This study …

Monitoring the spatiotemporal distribution of invasive aquatic plants in the Guadiana river, Spain

EC Rodríguez-Garlito, A Paz-Gallardo… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Monitoring the spatiotemporal distribution of invasive aquatic plants is a challenge in many
regions worldwide. One of the most invasive species on Earth is the water hyacinth. These …