Journal of Computing in Civil Engineering: Recent submissions
Now showing items 441-460 of 2320
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Automatic Pavement Type Recognition for Image-Based Pavement Condition Survey Using Convolutional Neural Network
(ASCE, 1/1/2021)Image-based systems are becoming popular to collect pavement condition data for pavement management activities. Pavement engineers define various distress categories based on pavement types. However, software solutions ... -
Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality
(ASCE, 1/1/2021)Data collection using unmanned aerial vehicles (UAVs) in construction and heavy civil projects is subject to compliance with strict operational rules and safety regulations. Both the US Federal Aviation Administration (FAA) ... -
Formalization of Occupant Feedback and Integration with BIM in Office Buildings
(ASCE, 1/1/2021)Occupant feedback is not effectively used in the facility management (FM) phase for operations and maintenance activities as well as retrofit and refurbishment investment decisions. One of the reasons is related to incomplete ... -
Characterization of Vulnerability of Road Networks to Random and Nonrandom Disruptions Using Network Percolation Approach
(ASCE, 1/1/2021)This paper examines the vulnerability of road networks to two types of disruptions by modeling the percolation dynamics in road networks under different disruption scenarios. The objective of this paper is threefold: ... -
Synthesizing Pose Sequences from 3D Assets for Vision-Based Activity Analysis
(ASCE, 1/1/2021)In recent years, computer vision algorithms have shown to effectively leverage visual data from jobsites for video-based activity analysis of construction equipment. However, earthmoving operations are restricted to site ... -
Mobile Hyperspectral Imaging for Material Surface Damage Detection
(ASCE, 1/1/2021)Many machine vision–based inspection methods aim to replace human-based inspection with an automated or highly efficient procedure. However, these machine-vision systems have not been endorsed entirely by civil engineers ... -
Vision-Based Framework for Automatic Progress Monitoring of Precast Walls by Using Surveillance Videos during the Construction Phase
(ASCE, 1/1/2021)Detecting and locating precast components to confirm and update components’ status information is the key to construction progress monitoring. There are several ways to collect the information of elements in construction ... -
Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction
(ASCE, 1/1/2021)Structural identification using physics-based models and subsequent prediction have much potential to enhance civil infrastructure asset-management decision-making. Interpreting monitoring information in the presence of ... -
Impact of Mobile Augmented Reality System on Cognitive Behavior and Performance during Rebar Inspection Tasks
(ASCE, 11/1/2020 )Mobile augmented reality (MAR) enhances the real world through the superimposition of computer-generated information while not interfering with a users’ mobility, having great potential to support various construction ... -
Determining Ground Elevations Covered by Vegetation on Construction Sites Using Drone-Based Orthoimage and Convolutional Neural Network
(ASCE, 11/1/2020 )Three-dimensional (3D) surveying of a construction site using an image-based method may produce incorrect ground elevation results at vegetation-covered regions, because the light rays are reflected on the surface of ... -
3D Photogrammetry Point Cloud Segmentation Using a Model Ensembling Framework
(ASCE, 11/1/2020 )The US Army is paying increased attention to the development of rapid three-dimensional (3D) reconstruction using photogrammetry and unmanned aerial vehicle (UAV) technologies for creating virtual environments and simulations ... -
Methodology and Validation of UAV-Based Video Analysis Approach for Tracking Earthquake-Induced Building Displacements
(ASCE, 11/1/2020 )Unmanned aerial vehicle (UAV) imagery has recently emerged as a promising alternative for operational condition inspection and postdisaster damage assessment of civil structures (e.g., bridges and buildings). However, ... -
Noise Reference Signal–Based Denoising Method for EDA Collected by Multimodal Biosensor Wearable in the Field
(ASCE, 11/1/2020 )Since people in contemporary society spend most of their time interacting with the built environment, there is a growing need to thoroughly understand the quality of human–built environment interaction to improve quality ... -
Environmental Distress and Physiological Signals: Examination of the Saliency Detection Method
(ASCE, 11/1/2020 )Burgeoning attention has recently been paid to measuring and assessing the effects of urban built environments on pedestrians’ physiological signals (e.g., gait patterns, blood volume pulse, and electrodermal activity). ... -
Training and Testing of Smartphone-Based Pavement Condition Estimation Models Using 3D Pavement Data
(ASCE, 11/1/2020 )Three-dimensional (3D) laser scanners have become a mainstream technology for the automatic assessment of pavement condition. The objective of this study is to leverage highly accurate 3D pavement data to train supervised ... -
Evaluating Routine Variability of Daily Activities in Smart Homes with Image Complexity Measures
(ASCE, 11/1/2020 )With the increasing trend of older adults living alone, an efficient and nonintrusive way to monitor these individuals’ mental health status is required for early diagnosis of mental disease (e.g., dementia). Because ... -
Video-Based Motion Trajectory Forecasting Method for Proactive Construction Safety Monitoring Systems
(ASCE, 11/1/2020 )Falls, struck-bys, and caught-in/betweens are among the most common types of fatal accidents on construction sites. Despite their significance, the majority of today’s accident prevention programs react passively to ... -
Clustering Information Types for Semantic Enrichment of Building Information Models to Support Automated Code Compliance Checking
(ASCE, 11/1/2020 )Missing, incomplete, implicit, and/or incorrect information are major obstacles to automated code compliance checking in the construction industry. All existing platforms for automated code checking require users to ... -
Fusing Data Extracted from Bridge Inspection Reports for Enhanced Data-Driven Bridge Deterioration Prediction: A Hybrid Data Fusion Method
(ASCE, 11/1/2020 )Data buried in textual bridge inspection reports offer great promise for enhanced data-driven bridge deterioration prediction. However, learning from these reports is challenging because they typically use multiple concept ... -
3D Reconstruction and Measurement of Surface Defects in Prefabricated Elements Using Point Clouds
(ASCE, 9/1/2020 1)Due to a higher efficiency and lower cost, prefabricated construction is gradually gaining acceptance within the market. Laser scanning has already been adopted in civil engineering to reconstruct a three-dimensional (3D) ...