Journal of Computing in Civil Engineering: Recent submissions
Now showing items 421-440 of 2320
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CorDet: Corner-Aware 3D Object Detection Networks for Automated Scan-to-BIM
(ASCE, 5/1/2021)The use of automatic building information modeling (BIM) based on point cloud scans is in increasing demand in many engineering applications, such as construction progress monitoring, building renovation, project management, ... -
Semantic Neural Network Ensemble for Automated Dependency Relation Extraction from Bridge Inspection Reports
(ASCE, 7/1/2021)Bridge inspection reports are important sources of technically detailed data/information about bridge conditions and maintenance history, yet remain untapped for bridge deterioration prediction. To capitalize on these ... -
Framework for UAS-Integrated Airport Runway Design Code Compliance Using Incremental Mosaic Imagery
(ASCE, 3/1/2021)Airport inspections are essential to ensuring the safety of aircraft operation for the general public. The current, manual, approach to inspection consumes a significant amount of time. Unmanned aircraft systems (UASs) are ... -
Sparse and Low-Overlapping Point Cloud Registration Network for Indoor Building Environments
(ASCE, 3/1/2021)Registration aims at merging multiple scans to cover all scenes of a large environment. Thus, it is crucial to many civil infrastructure applications based on three-dimensional (3D) models. However, in many real-world ... -
Integrating Building Information Model and Augmented Reality for Drone-Based Building Inspection
(ASCE, 3/1/2021)Unmanned aerial vehicles (UAVs) have been widely accepted for building inspection in recent years. However, the advantages of UAV inspection are not fully leveraged because of the absence of related information to assist ... -
Vision-Based Method Integrating Deep Learning Detection for Tracking Multiple Construction Machines
(ASCE, 3/1/2021)Tracking construction machines in videos is a fundamental step in the automated surveillance of construction productivity, safety, and project progress. However, existing vision-based tracking methods are not able to achieve ... -
Computer Vision–Based Estimation of Flood Depth in Flooded-Vehicle Images
(ASCE, 3/1/2021)This study proposes a vision-based method for flood depth estimation using flooded-vehicle images with a ground-level view. The proposed method is comprised of three main processes: segmentation of vehicle objects, ... -
Bridge Inspection with Aerial Robots: Automating the Entire Pipeline of Visual Data Capture, 3D Mapping, Defect Detection, Analysis, and Reporting
(ASCE, 3/1/2021)The aging of bridges coupled with increased vehicular traffic requires timely and accurate inspections for elevated highway structures. Recent studies have leveraged the advent of drones and computer vision to automatically ... -
Exploring the Influence of Emergency Broadcasts on Human Evacuation Behavior during Building Emergencies Using Virtual Reality Technology
(ASCE, 3/1/2021)Emergency broadcasts are one of the most widely used measures to disseminate emergency information among building occupants and guide their evacuation behaviors during building emergencies. This study aimed to assess the ... -
Distress Recognition in Unpaved Roads Using Unmanned Aerial Systems and Deep Learning Segmentation
(ASCE, 3/1/2021)Effective condition assessment of road networks has been known to decrease road maintenance expenses and operation cost of the users. Several automated methods, such as computer vision–based systems, have been developed ... -
COCO-Bridge: Structural Detail Data Set for Bridge Inspections
(ASCE, 5/1/2021)The purpose of this research is to propose a means to address two issues faced by unmanned aerial vehicles (UAVs) during bridge inspection. The first issue is that UAVs have a notoriously difficult time operating near ... -
Numerical-Based Approach for Updating Simulation Input in Real Time
(ASCE, 3/1/2021)Simulation has assisted engineers in various decision-making processes for decades. Particularly, modeling inputs as probabilistic distributions enables these stochastic models to capture uncertainties and represent random ... -
Development of an Image Data Set of Construction Machines for Deep Learning Object Detection
(ASCE, 3/1/2021)Deep learning object detection algorithms have proven their capacity to identify a variety of objects from images and videos in near real-time speed. The construction industry can potentially benefit from this machine ... -
Social Media Mining for Understanding Traffic Safety Culture in Washington State Using Twitter Data
(ASCE, 1/1/2021)Traffic safety culture has emerged as a significant factor in support of the recognition of existing traffic safety policies and programs and as a contextual variable to describe high-risk behaviors of drivers. However, ... -
Deep Floor Plan Analysis for Complicated Drawings Based on Style Transfer
(ASCE, 3/1/2021)This paper presents a novel approach to retrieve indoor structures from raster images of complicated floor plans. We extract the building elements in the floor plan and process them into a vectorized form to provide indoor ... -
UAS Point Cloud Accuracy Assessment Using Structure from Motion–Based Photogrammetry and PPK Georeferencing Technique for Building Surveying Applications
(ASCE, 1/1/2021)Construction researchers and professionals have shown increased interest and need to enhance the accuracy of unmanned aerial system (UAS)-generated point cloud data (PCD) and ideally improve this technology’s integration ... -
BIM-Based Tunnel Information Modeling Framework for Visualization, Management, and Simulation of Drill-and-Blast Tunneling Projects
(ASCE, 3/1/2021)Tunnel construction fundamentally differs from building and aboveground civil infrastructure projects. Drill-and-blast is one of the most common and flexible tunnel construction methods. However, it is complex and challenging ... -
Identifying Weak Joints in Jointed Concrete and Composite Pavements from Traffic Speed Deflectometer Measurements by Basis Pursuit
(ASCE, 3/1/2021)Weak joints are the source of most performance problems in jointed concrete pavements (JPCPs) and composite pavements created by overlaying a JPCP. Until recently, it has been prohibitively time-consuming to evaluate the ... -
Detection and Semantic Segmentation of Disaster Damage in UAV Footage
(ASCE, 3/1/2021)In the aftermath of large-scale disasters, such as hurricanes, floods, or earthquakes, preliminarily damage assessment (PDA) is carried out to determine the impact and magnitude of damage and meet the needs of affected ... -
Automated Object Manipulation Using Vision-Based Mobile Robotic System for Construction Applications
(ASCE, 1/1/2021)In the last decade, automated object manipulation for construction applications has received much attention. However, the majority of existing systems are situated in a fixed location. They are mostly static systems ...