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Infrastructure BIM Platform for Lifecycle Management

Keunyoung Jang, Jong-Woo Kim, Ki-Beom Ju, Yun-Kyu An
2021 Applied Sciences  
The lifecycle management methodology, after infrastructure construction, is then completed and is developed using state-of-the-art techniques using unmanned robots, scan-to-BIM, and deep learning networks  ...  Research on the lifecycle management of infrastructure, from planning and design to construction and management, has been carried out.  ...  In particular, data acquisition has been automated by adopting various unmanned robots such as unmanned aerial vehicle (UAV) and climbing robot.  ... 
doi:10.3390/app112110310 fatcat:3z2igcebuvfmvjibwxma3kvxoa

Towards Automated Post-Earthquake Inspections with Deep Learning-based Condition-Aware Models [article]

Vedhus Hoskere, Yasutaka Narazaki, Tu A. Hoang, Billie F. Spencer Jr
2018 arXiv   pre-print
Deep fully convolutional residual networks are used for semantic segmentation of images of buildings to provide (i) damage information such as cracks and spalling (ii) contextual infor-mation such as the  ...  Researchers typi-cally envisage the use of unmanned aerial vehicles (UAV) for data acquisition and computer vision for data processing to extract actionable information.  ...  Acknowledgement The authors would like to acknowledge funding from the Will K.  ... 
arXiv:1809.09195v1 fatcat:qnkhzdunlrhlnnwbvqeslnoctm

Creating a Dataset to Boost Civil Engineering Deep Learning Research and Application

Murad Al Qurishee, Weidong Wu, Babatunde Atolagbe, Joseph Owino, Ignatius Fomunung, Mbakisya Onyango
2020 Engineering  
Also, some pilot study databases were developed for concrete crack detection, pavement crack detection using normal and infrared thermography, as well as pedestrian and bicyclist detection.  ...  learning research and applications on such as intelligent transportation including connected vehicle, structural health monitoring, and bridge inspection.  ...  With affordable Unmanned Aerial Vehicle (UAV) and deep learning computer technology, it is a trend to partially or completely replace vision inspection.  ... 
doi:10.4236/eng.2020.123013 fatcat:bgzro6g6dng2fmmdxx6dhesfre

Review of Intelligent Road Defects Detection Technology

Yong Zhou, Xinming Guo, Fujin Hou, Jianqing Wu
2022 Sustainability  
This is not only the guarantee of highway quality but also the guarantee of people's lives and safety.  ...  This study focuses on the intelligent detection of road disease and summarizes the commonly used detection equipment in the intelligent detection technology of road diseases, which include cameras, GPR  ...  [123] proposed an intelligent detection system of road surface disease based on deep learning for highway safety.  ... 
doi:10.3390/su14106306 fatcat:ok2syuobirgojbjkyihczexiw4

A Novel Approach for UAV Image Crack Detection

Yanxiang Li, Jinming Ma, Ziyu Zhao, Gang Shi
2022 Sensors  
Unmanned Aerial Vehicles (UAV) have the characteristics of low energy consumption and easy control.  ...  neural network for automatic crack detection which utilises learning high-level features for crack representation.  ...  Conclusions In this work, we propose a novel approach to detect cracks, called DenxiDeepCrack, using deep-learning models. We create a dataset based on drone images called UCrack.  ... 
doi:10.3390/s22093305 pmid:35590994 pmcid:PMC9104641 fatcat:5lzsunu2czchdfu7visx2xvy6u

Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review

Mohsen Azimi, Armin Dadras Eslamlou, Gokhan Pekcan
2020 Sensors  
The procedure and application of vibration-based, vision-based monitoring, along with some of the recent technologies used for SHM, such as sensors, unmanned aerial vehicles (UAVs), etc. are discussed.  ...  ., deep neural networks, transfer learning, etc.) is presented.  ...  Drones, Unmanned Aerial Vehicles (UAVs), or Unmanned Aerial Systems (UASs), are classified based on their level of automaticity, size, and other capabilities.  ... 
doi:10.3390/s20102778 pmid:32414205 pmcid:PMC7294417 fatcat:sl3t5pxt3rhy3adzjgziumvmia

Towards Improved Unmanned Aerial Vehicle Edge Intelligence: A Road Infrastructure Monitoring Case Study

Sofia Tilon, Francesco Nex, George Vosselman, Irene Sevilla de la Llave, Norman Kerle
2022 Remote Sensing  
Consumer-grade Unmanned Aerial Vehicles (UAVs) are poorly suited to monitor complex scenes where multiple analysis tasks need to be carried out in real-time and in parallel to fulfil time-critical requirements  ...  By utilizing edge computation and remote processing, the end-to-end pipeline, from image capture to information dissemination to drone operators on the ground, takes on average 2.9 s, which is sufficiently  ...  generation highways.  ... 
doi:10.3390/rs14164008 fatcat:g4hcxc4uubfuti2todzqyhbvpm

Bridge Girder Crack Assessment Using Faster RCNN Inception V2 and Infrared Thermography

Murad Al Qurishee, Weidong Wu, Babatunde Atolagbe, Joseph Owino, Ignatius Fomunung, Said El Said, Sayed Mohammad Tareq
2020 Journal of Transportation Technologies  
The goal of this research is to allow application of state-of-the-art deep neural network and Unmanned Aerial Vehicle (UAV) technologies for highway bridge girder inspection.  ...  A total of 2086 images of crack and non-crack were taken from UTC Old Library parking garage ceiling using handheld mobile phone and drone.  ...  Acknowledgements Supercomputer resources used for deep learning simulations provided by Dr. Ethan Hereth and UTC SimCenter is greatly appreciated. We are also grateful to Dr.  ... 
doi:10.4236/jtts.2020.102007 fatcat:f6vbu4asyngzzji3eltxp7e5ge

UAV-Based Remote Sensing Applications for Bridge Condition Assessment

Sainab Feroz, Saleh Abu Dabous
2021 Remote Sensing  
Non-destructive testing (NDT) using Unmanned Aerial Vehicles (UAVs) have been gaining momentum for bridge monitoring in the recent years, particularly due to enhanced accessibility and cost efficiency,  ...  In addition to comparison of stand-alone and integrated NDT-UAV methods, the facilitation of bridge inspection using UAVs is thoroughly discussed in the present article in terms of ease of use, accuracy  ...  / Unmanned aerial vehicle MATLAB algorithm/image processing algorithm Table A1 .  ... 
doi:10.3390/rs13091809 fatcat:czb4tvnfmbfttf3mvwl6jclgxq

Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review

Eshta Ranyal, Ayan Sadhu, Kamal Jain
2022 Sensors  
The majority of these technologies employ next-generation distributed sensors and vision-based artificial intelligence (AI) methodologies to evaluate, classify and localize pavement distresses using the  ...  This paper presents an exhaustive and systematic literature review of these technologies in RCM that have been published from 2017–2022 by utilizing next-generation sensors, including contact and noncontact  ...  Sensor Platform Advantages Limitations Unmanned Aerial Vehicle Large FOV. High Resolution.  ... 
doi:10.3390/s22083044 pmid:35459034 pmcid:PMC9029655 fatcat:pqrm3lcihzfv5n6ojjvxg7plkq

Deep Learning-Based Object Detection for Unmanned Aerial Systems (UASs)-Based Inspections of Construction Stormwater Practices

Billur Kazaz, Subhadipto Poddar, Saeed Arabi, Michael A. Perez, Anuj Sharma, J. Blake Whitman
2021 Sensors  
The developed model was created from 800 aerial images and was used to detect four different types of construction stormwater practices at 100% accuracy on the Mean Average Precision (MAP) with minimal  ...  Deep learning-based object detection principles were applied to identify and locate practices installed on active construction sites.  ...  Data Availability Statement: Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.  ... 
doi:10.3390/s21082834 pmid:33920610 fatcat:szdxgql6kjhvbjwxdqihnhbhc4

Evolving Pre-Trained CNN Using Two-Layers Optimizer for Road Damage Detection From Drone Images

Hussein Samma, Shahrel Azmin Suandi, Nor Azman Ismail, Sarina Sulaiman, Lee Li Ping
2021 IEEE Access  
Thirdly, It applies the developed model for real-world road damage detection from drone-based images.  ...  Secondly, it automatically evolves a lightweight deep model which uses a small number of VGG-19 convolutional filters.  ...  Unmanned Aerial Vehicles (UAV), commonly known as the drone, is a promising solution to automate the roads inspection process.  ... 
doi:10.1109/access.2021.3131231 fatcat:foevy452jnfwrimov5o4vzgepu

An Automatic Road Distress Visual Inspection System Using an Onboard In-Car Camera

Thitirat Siriborvornratanakul
2018 Advances in Multimedia  
However, because running these huge and expensive vehicles is not easy, in practical, it usually ends up with infrequent road inspection regardless of having automatic road inspection vehicles.  ...  As for the proof-of-concept, our current system focuses on detecting one specific type of road distresses called pothole, using only one onboard in-car camera.  ...  [13] presented a crack detection method using histogram analysis; unmanned aerial vehicles were used to collect the data, and then they built a 3D model of the structure from laser scanners for using  ... 
doi:10.1155/2018/2561953 fatcat:jbj2w3dizrbq5nn2e4ydviqmru

Automatic Detection of Cracks on Concrete Surfaces in the Presence of Shadows

Paulius Palevičius, Mayur Pal, Mantas Landauskas, Ugnė Orinaitė, Inga Timofejeva, Minvydas Ragulskis
2022 Sensors  
Deep learning-based methods, especially convolutional neural networks, have been developed to automatically process the images of concrete surfaces for crack identification tasks.  ...  Although deep learning-based methods claim very high accuracy, they often ignore the complexity of the image collection process.  ...  Moreover, it enables the use of the deep learning-based crack identification methodology for broader real-world applications, including the use of camera-carrying areal unmanned vehicles.  ... 
doi:10.3390/s22103662 pmid:35632070 pmcid:PMC9145296 fatcat:4lv5yjeiangv5gztnojvdanax4

Drone-Based Non-Destructive Inspection of Industrial Sites: A Review and Case Studies

Parham Nooralishahi, Clemente Ibarra-Castanedo, Shakeb Deane, Fernando López, Shashank Pant, Marc Genest, Nicolas P. Avdelidis, Xavier P. V. Maldague
2021 Drones  
In this paper, a brief review of the history of unmanned aerial vehicles, along with a comprehensive review of studies focused on UAV-based NDI of industrial and commercial facilities, are provided.  ...  Using aerial platforms for Non-Destructive Inspection (NDI) of large and complex structures is a growing field of interest in various industries.  ...  Cheng et al. introduced an encoder-decoder deep learning architecture to segment the delaminated areas in thermal images.  ... 
doi:10.3390/drones5040106 fatcat:lkvwb23cuneanpvqn3hpzvus3e
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