Autonomous detection of damage to multiple steel surfaces from 360° panoramas using deep neural networks
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Autonomous detection of damage to multiple steel surfaces from 360° panoramas using deep neural networks
Authors
Keywords
-
Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-03-24
DOI
10.1111/mice.12686
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Automated crack evaluation of a high-rise bridge pier using a ring-type climbing robot
- (2020) Keunyoung Jang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Uncertainty‐assisted deep vision structural health monitoring
- (2020) Seyed Omid Sajedi et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network
- (2019) Shengyuan Li et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Pano-RSOD: A Dataset and Benchmark for Panoramic Road Scene Object Detection
- (2019) Yong Li et al. Electronics
- FEMa: a finite element machine for fast learning
- (2019) Danilo R. Pereira et al. NEURAL COMPUTING & APPLICATIONS
- Encoder-decoder network for pixel-level road crack detection in black-box images
- (2019) Seongdeok Bang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A dynamic ensemble learning algorithm for neural networks
- (2019) Kazi Md. Rokibul Alam et al. NEURAL COMPUTING & APPLICATIONS
- Image‐based crack assessment of bridge piers using unmanned aerial vehicles and three‐dimensional scene reconstruction
- (2019) Yu‐Fei Liu et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automated building image extraction from 360° panoramas for postdisaster evaluation
- (2019) Ali Lenjani et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Vision‐based automated bridge component recognition with high‐level scene consistency
- (2019) Yasutaka Narazaki et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging
- (2018) Dongho Kang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Deep Transfer Learning for Image-Based Structural Damage Recognition
- (2018) Yuqing Gao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Unified Vision-Based Methodology for Simultaneous Concrete Defect Detection and Geolocalization
- (2018) Ruoxing Li et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A novel unsupervised deep learning model for global and local health condition assessment of structures
- (2018) Mohammad Hossein Rafiei et al. ENGINEERING STRUCTURES
- Enhanced probabilistic neural network with local decision circles: A robust classifier
- (2018) Mehran Ahmadlou et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- A survey of automation-enabled human-in-the-loop systems for infrastructure visual inspection
- (2018) Sruthy Agnisarman et al. AUTOMATION IN CONSTRUCTION
- Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization
- (2018) Xiao Liang COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Pixel-level crack delineation in images with convolutional feature fusion
- (2018) FuTao Ni et al. Structural Control & Health Monitoring
- A novel machine learning-based algorithm to detect damage in high-rise building structures
- (2017) Mohammad Hossein Rafiei et al. STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS
- A New Neural Dynamic Classification Algorithm
- (2017) Mohammad Hossein Rafiei et al. IEEE Transactions on Neural Networks and Learning Systems
- Automated visual inspection in the semiconductor industry: A survey
- (2015) Szu-Hao Huang et al. COMPUTERS IN INDUSTRY
- Synchrosqueezed wavelet transform-fractality model for locating, detecting, and quantifying damage in smart highrise building structures
- (2015) Juan P Amezquita-Sanchez et al. Smart Materials and Structures
- Achievements and Challenges in Machine Vision-Based Inspection of Large Concrete Structures
- (2014) C. Koch et al. ADVANCES IN STRUCTURAL ENGINEERING
- Quality Assessment of Unmanned Aerial Vehicle (UAV) Based Visual Inspection of Structures
- (2014) G. Morgenthal et al. ADVANCES IN STRUCTURAL ENGINEERING
- Automatic optical inspection system for IC molding surface
- (2014) Ssu-Han Chen et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Selective Search for Object Recognition
- (2013) J. R. R. Uijlings et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments
- (2012) Stephanie German et al. ADVANCED ENGINEERING INFORMATICS
- Pothole detection in asphalt pavement images
- (2011) Christian Koch et al. ADVANCED ENGINEERING INFORMATICS
- Evaluation of Commercially Available Remote Sensors for Highway Bridge Condition Assessment
- (2011) Khatereh Vaghefi et al. Journal of Bridge Engineering
- The Pascal Visual Object Classes (VOC) Challenge
- (2009) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Computer-Vision-Based Fabric Defect Detection: A Survey
- (2008) A. Kumar IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started