Application of Deep Learning and Unmanned Aerial Vehicle on Building Maintenance

Postdisaster image‐based damage detection and repair cost estimation of reinforced concrete buildings using dual convolutional neural networks

(2020) Xiao Pan et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automatic detection of building typology using deep learning methods on street level images

(2020) Daniela Gonzalez et al.   BUILDING AND ENVIRONMENT

Assessment of concrete sensitivity to fire spalling: A multi-scale experimental approach

(2019) Francesco Lo Monte et al.   CONSTRUCTION AND BUILDING MATERIALS

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

(2019) Husein Perez et al.   SENSORS

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Image-based concrete crack detection in tunnels using deep fully convolutional networks

(2019) Yupeng Ren et al.   CONSTRUCTION AND BUILDING MATERIALS

Structural Health Monitoring of Buildings Using Smartphone Sensors

(2018) Qingkai Kong et al.   SEISMOLOGICAL RESEARCH LETTERS

Convolutional neural networks for automated damage recognition and damage type identification

(2018) Ceena Modarres et al.   Structural Control & Health Monitoring

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

A study on the UAV image-based efficiency improvement of bridge maintenance and inspection

(2018) Jae Kang Lee et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Innovative Strain Sensing for Detection of Exterior Wall Tile Lesion: Smart Skin Sensory System

(2018) Chih-Yuan Chang et al.   Materials

Applicability of unmanned aerial system (UAS) for safety inspection on construction sites

(2017) Roseneia Rodrigues Santos de Melo et al.   SAFETY SCIENCE

All-printed strain sensors: Building blocks of the aircraft structural health monitoring system

(2017) Yuzheng Zhang et al.   SENSORS AND ACTUATORS A-PHYSICAL

Structural Health Monitoring (SHM) of Civil Structures

(2017) Gangbing Song et al.   Applied Sciences-Basel

The Development of a Diagnostic Model for the Deterioration of External Wall Tiles of Aged Buildings in Taiwan

(2016) Li-Wei Chiang et al.   Journal of Asian Architecture and Building Engineering

Exploratory Study of Potential Applications of Unmanned Aerial Systems for Construction Management Tasks

(2016) Javier Irizarry et al.   JOURNAL OF MANAGEMENT IN ENGINEERING

Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system

(2014) Sebastian Siebert et al.   AUTOMATION IN CONSTRUCTION

Probabilistic Risk Assessment Methodology of Exterior Surfaces Defacement Caused by Algae Growth

(2014) N. M. M. Ramos et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Image-Based Automated 3D Crack Detection for Post-disaster Building Assessment

(2013) Matthew M. Torok et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

An Unmanned Aerial Vehicle-Based Imaging System for 3D Measurement of Unpaved Road Surface Distresses1

(2011) Chunsun Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Rapid evaluation of tile-wall bonding integrity using multiple-head impact acoustic method

(2011) B.L. Luk et al.   NDT & E INTERNATIONAL

Fast crack detection method for large-size concrete surface images using percolation-based image processing

(2009) Tomoyuki Yamaguchi et al.   MACHINE VISION AND APPLICATIONS