Automation in architecture, engineering and construction: a scientometric analysis and implications for management
Purpose Many economic, political and socio-cultural events in the 2020s have been strong
headwinds for architecture, engineering and construction (AEC). Nevertheless …
headwinds for architecture, engineering and construction (AEC). Nevertheless …
Using convex hulls with octree/voxel representations of point clouds to assess road and roadside geometric design for automated vehicles
M Gouda, Z Pawliuk, J Mirza, K El-Basyouny - Automation in Construction, 2023 - Elsevier
This paper aims to quantitatively assess the geometric design of road and roadside
infrastructure for Autonomous Vehicles (AVs) using point cloud data while addressing the …
infrastructure for Autonomous Vehicles (AVs) using point cloud data while addressing the …
[HTML][HTML] Perceived benefits of automation and artificial intelligence in the AEC sector: An interpretive structural modeling approach
AO Onososen, I Musonda - Frontiers in built environment, 2022 - frontiersin.org
Increasing demand for infrastructure amidst the surge in the urbanisation of cities and newly
emerging commercial nerves has spurred the need to reinvent and rethink traditional …
emerging commercial nerves has spurred the need to reinvent and rethink traditional …
Application of 3D scanning, computer simulations and virtual reality in the redesigning process of selected areas of underground transportation routes in coal mining …
Nowadays designing of selected areas of mines underground workings can be effectively
improved by the application of computer techniques: 3D scanning, computer simulations …
improved by the application of computer techniques: 3D scanning, computer simulations …
Underground mine tunnel modelling using laser scan data in relation to manual geometry measurements
J Janus, P Ostrogórski - Energies, 2022 - mdpi.com
Underground mine tunnels, drifts, and mine headings are susceptible to the impact of
convergence. The convergence has a big influence on further measurements such as …
convergence. The convergence has a big influence on further measurements such as …
Performance boosting of conventional deep learning-based semantic segmentation leveraging unsupervised clustering
In Scan-to-BIM, semantically understanding 3D point clouds is an essential process that
must precede 3D BIM elements generation. The main idea of this research stemmed from an …
must precede 3D BIM elements generation. The main idea of this research stemmed from an …
[PDF][PDF] The use of boston dynamics SPOT in support of LiDAR scanning on active construction sites
With the recent commercial availability of autonomous mobility platforms, construction
researchers have focused their attention to the application of advanced robotic tools on …
researchers have focused their attention to the application of advanced robotic tools on …
Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: A virtual simulation analysis
Emerging automated vehicle (AV) technology is being deployed on as-built roadways due to
its promising safety improvements. However, realistic problems concerning whether and …
its promising safety improvements. However, realistic problems concerning whether and …
High-volume point cloud data simplification based on decomposed graph filtering
Recent studies on three-dimensional (3D) point cloud data (PCD) simplification have played
significant roles in computer-aided models for alleviating computational and storage burden …
significant roles in computer-aided models for alleviating computational and storage burden …
Virtual analysis of urban road visibility using mobile laser scanning data and deep learning
This study proposes a new computer-aided framework for virtually analyzing urban road
visibility using mobile laser scanning (MLS) data. The proposed framework compromises …
visibility using mobile laser scanning (MLS) data. The proposed framework compromises …