Journal of Computing in Civil Engineering: Recent submissions
Now showing items 341-360 of 2320
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Digitalization of Traffic Scenes in Support of Intelligent Transportation Applications
(ASCE, 5/19/2023 )Digitalization of real-world traffic scenes is a fundamental task in development of digital twins of road transportation. However, the existing digitalization approaches are either expensive in equipment costs or inapplicable ... -
Network-Level Guardrail Extraction Based on 3D Local Features from Mobile LiDAR Sensor
(ASCE, 2022/11/01)Guardrails are critical boundary infrastructures protecting against road departures and traffic collisions. The presence and condition information of in-service guardrails are essential for transportation agencies to perform ... -
Self-Optimization for Parsing Floor Plans
(ASCE, 2022/11/01)Floor plan vectorization is an emerging research area in geographic information -
Unified Breakdown Structure for Information Integration to Enhance Interoperability in the Built Environment
(ASCE, 2022/11/01)Advanced information technologies provide an opportunity to radically improve the business process of the architecture, engineering, construction, and operations (AECO) industry. The concept of interoperability, characterized ... -
Development of Extendable Open-Source Structural Inspection Datasets
(ASCE, 2022/11/01)Recent infrastructure inspection has used deep-learning models to enhance and augment typical inspection tasks such as detecting and quantifying damage. One of the issues with this trend is that deep-learning models typically ... -
Machine Learning Control for Floating Offshore Wind Turbine Individual Blade Pitch Control
(ASCE, 2022/11/01)Offshore wind energy is a promising option for emission-free power generationbecause its potential can satisfy the entire US energy demand. However, deep offshore wind energy is mostly left untapped due to the high levelized ... -
Exploiting BIM Objects for Synthetic Data Generation toward Indoor Point Cloud Classification Using Deep Learning
(ASCE, 2022/11/01)Advances in technology are leading to more and more devices integrating sensors capable of acquiring data quickly and with high accuracy. Point clouds are no exception. Therefore, there is increased research interest in ... -
Improved Bat Algorithm Based on Doppler Effect for Optimal Design of Special Truss Structures
(ASCE, 2022/11/01)Bat algorithm (BA) is one of the well-established metaheuristic algorithms based on the echolocation characteristics of microbats. Literature studies demonstrate that BA provides good results in a wide range of optimization ... -
Object-Oriented Damage Information Modeling Concepts and Implementation for Bridge Inspection
(ASCE, 2022/11/01)Bridges are designed to last for more than 50 years and consume up to 50% of their life-cycle costs during their operation phase. Several inspections and assessment actions are executed during this period. Bridge and ... -
Deep Learning–Based Building Attribute Estimation from Google Street View Images for Flood Risk Assessment Using Feature Fusion and Task Relation Encoding
(ASCE, 2022/11/01)Floods are the most common and damaging natural disaster worldwide in terms of both economic losses and human casualties. Currently, policymakers rely on data collected through labor-intensive and, consequently, expensive ... -
Modeling Motorcyclist–Pedestrian Near Misses: A Multiagent Adversarial Inverse Reinforcement Learning Approach
(ASCE, 2022/11/01)Several studies have used surrogate safety measures obtained from microsimulation packages, such as VISSIM, for safety assessments. However, this approach has shortcomings: (1) microsimulation models are developed ... -
Robotic Cross-Platform Sensor Fusion and Augmented Visualization for Large Indoor Space Reality Capture
(ASCE, 2022/11/01)The advancement in sensors, robotics, and artificial intelligence has enabled a series of methods such as simultaneous localization and mapping (SLAM), semantic segmentation, and point cloud registration to help with the ... -
Analyzing Safety Risk Imposed by Jobsite Debris to Nearby Built Environments Using Geometric Digital Twins and Vision-Based Deep Learning
(ASCE, 2022/11/01)Extreme wind events can pick up loose and small objects on the ground, and once the objects become airborne, they negatively impact surrounding communities due to the collision impact. In this regard, jobsites and laydown ... -
Monocular Vision–Enabled 3D Truck Reconstruction: A Novel Optimization Approach Based on Parametric Modeling and Graphics Rendering
(ASCE, 2022/07/13)Three-dimensional (3D) truck information, e.g., geometry, orientation, and position, can enable various smart construction applications such as monitoring earthwork, enhancing construction safety, and promoting ... -
Seeing through Disaster Rubble in 3D with Ground-Penetrating Radar and Interactive Augmented Reality for Urban Search and Rescue
(ASCE, 2022/06/29)First responders often lack information and visual clues regarding interior spaces in disaster rubble, preventing efficient, effective, and safe search and rescue for victims trapped in collapsed structures. Rapidly detecting ... -
Variance Analysis on Regression Models for Estimating Labor Costs of Prefabricated Components
(ASCE, 2022/06/15)Regression modeling has been based on analyzing error terms between the predicted output and the target output without addressing the variance of the predicted output and the impact of individual input parameters on the ... -
Bilevel Thresholding–Based Iterative Analysis for Building-Surface Damage Detection in a Postearthquake Environment
(ASCE, 2022/07/12)Manual building damage inspection in a postearthquake environment is typically resource-consuming and prone to limitations based on subjectivity. A bilevel thresholding–based iterative framework is proposed to automate the ... -
Synthetic Image Dataset Development for Vision-Based Construction Equipment Detection
(ASCE, 2022/06/24)This paper presents a systematic method to create universally applicable synthetic training image datasets for computer vision-based construction object detection. The synthetic images created by inserting a virtual object ... -
AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images
(ASCE, 2022/07/04)Satellite and street view images are widely used in various disciplines as a source of information for understanding the built environment. In natural hazard engineering, high-quality building inventory data sets are crucial ... -
Multiobjective Optimization of Reality Capture Plans for Computer Vision–Driven Construction Monitoring with Camera-Equipped UAVs
(ASCE, 2022/06/09)The exponential growth in reality capture and Building Information Modeling (BIM)-enabled construction workflows has created a surge in computer vision–driven solutions that automatically model and compare as-built conditions ...