Automated crack evaluation of a high-rise bridge pier using a ring-type climbing robot
出版年份 2020 全文链接
标题
Automated crack evaluation of a high-rise bridge pier using a ring-type climbing robot
作者
关键词
-
出版物
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2020-03-26
DOI
10.1111/mice.12550
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Content-Preserving Image Stitching With Piecewise Rectangular Boundary Constraints
- (2020) Yun Zhang et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network
- (2019) Shengyuan Li et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Deep learning–based autonomous concrete crack evaluation through hybrid image scanning
- (2019) Keunyoung Jang et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Encoder-decoder network for pixel-level road crack detection in black-box images
- (2019) Seongdeok Bang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Effect of steel fiber and carbon black on the self-sensing ability of concrete cracks under bending
- (2019) Yining Ding et al. CONSTRUCTION AND BUILDING MATERIALS
- Evaluation of Vertical Fatigue Cracks by Means of Flying Laser Thermography
- (2019) N. Montinaro et al. JOURNAL OF NONDESTRUCTIVE EVALUATION
- DeepCrack: A deep hierarchical feature learning architecture for crack segmentation
- (2019) Yahui Liu et al. NEUROCOMPUTING
- Concrete crack detection using context‐aware deep semantic segmentation network
- (2019) Xinxiang Zhang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- GPU based Parallel Optimization for Real Time Panoramic Video Stitching
- (2019) Chengyao Du et al. PATTERN RECOGNITION LETTERS
- Automatic multi-image stitching for concrete bridge inspection by combining point and line features
- (2018) Renping Xie et al. AUTOMATION IN CONSTRUCTION
- Vision-based change detection for inspection of tunnel liners
- (2018) Leanne Attard et al. AUTOMATION IN CONSTRUCTION
- Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network
- (2018) Hoang Nhat-Duc et al. AUTOMATION IN CONSTRUCTION
- 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
- Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
- (2018) Hiroya Maeda et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects
- (2018) Yadong Xue et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- New Crack Detection Method for Bridge Inspection Using UAV Incorporating Image Processing
- (2018) Bin Lei et al. JOURNAL OF AEROSPACE ENGINEERING
- Nondestructive evaluation sensor fusion with autonomous robotic system for civil infrastructure inspection
- (2018) Spencer Gibb et al. Journal of Field Robotics
- Cable surface damage detection in cable-stayed bridges using optical techniques and image mosaicking
- (2018) Xinke Li et al. OPTICS AND LASER TECHNOLOGY
- Panoramic Crack Detection for Steel Beam Based on Structured Random Forests
- (2018) Sen Wang et al. IEEE Access
- Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
- (2018) Xincong Yang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Zernike‐moment measurement of thin‐crack width in images enabled by dual‐scale deep learning
- (2018) FuTao Ni et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Embedding ultrasonic transducers in concrete: A lifelong monitoring technology
- (2018) Arnaud Deraemaeker et al. CONSTRUCTION AND BUILDING MATERIALS
- Autonomous concrete crack detection using deep fully convolutional neural network
- (2018) Cao Vu Dung et al. AUTOMATION IN CONSTRUCTION
- Inspection of cracks with focused angle beam laser ultrasonic wave
- (2018) Dongchi Yi et al. APPLIED ACOUSTICS
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Development of an autonomous bridge deck inspection robotic system
- (2017) Hung M. La et al. Journal of Field Robotics
- Concrete Crack Identification Using a UAV Incorporating Hybrid Image Processing
- (2017) Hyunjun Kim et al. SENSORS
- Comparison of Visual Inspection and Structural-Health Monitoring As Bridge Condition Assessment Methods
- (2016) Duzgun Agdas et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
- Vision-Based Automated Crack Detection for Bridge Inspection
- (2015) Chul Min Yeum et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Line laser lock-in thermography for instantaneous imaging of cracks in semiconductor chips
- (2015) Yun-Kyu An et al. OPTICS AND LASERS IN ENGINEERING
- Application of Local Reference-Free Damage Detection Techniques to In Situ Bridges
- (2013) Yun-Kyu An et al. JOURNAL OF STRUCTURAL ENGINEERING
- Noncontact laser ultrasonic crack detection for plates with additional structural complexities
- (2013) Yun-Kyu An et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- An innovative methodology for detection and quantification of cracks through incorporation of depth perception
- (2011) Mohammad R. Jahanshahi et al. MACHINE VISION AND APPLICATIONS
- Bridge inspection robot system with machine vision
- (2009) Je-Keun Oh et al. AUTOMATION IN CONSTRUCTION
- 2D Euclidean distance transform algorithms
- (2008) Ricardo Fabbri et al. ACM COMPUTING SURVEYS
- Speeded-Up Robust Features (SURF)
- (2008) Herbert Bay et al. COMPUTER VISION AND IMAGE UNDERSTANDING
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