标题
Bridge bottom crack detection and modeling based on faster R‐CNN and BIM
作者
关键词
-
出版物
IET Image Processing
Volume -, Issue -, Pages -
出版商
Institution of Engineering and Technology (IET)
发表日期
2023-11-03
DOI
10.1049/ipr2.12976
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Structural damage-causing concrete cracking detection based on a deep-learning method
- (2022) Xiaojian Han et al. CONSTRUCTION AND BUILDING MATERIALS
- UNet-based model for crack detection integrating visual explanations
- (2022) Fangyu Liu et al. CONSTRUCTION AND BUILDING MATERIALS
- A deep learning method for oriented and small wheat spike detection (OSWSDet) in UAV images
- (2022) Jianqing Zhao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic Detection and Counting System for Pavement Cracks Based on PCGAN and YOLO-MF
- (2022) Duo Ma et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Semi-supervised semantic segmentation network for surface crack detection
- (2021) Wenjun Wang et al. AUTOMATION IN CONSTRUCTION
- A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning
- (2021) Xiong Peng et al. CONSTRUCTION AND BUILDING MATERIALS
- Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures
- (2021) Rahmat Ali et al. AUTOMATION IN CONSTRUCTION
- Efficient attention-based deep encoder and decoder for automatic crack segmentation
- (2021) Dong H Kang et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Remote inspection of RC structures using unmanned aerial vehicles and heuristic image processing
- (2020) D. Ribeiro et al. ENGINEERING FAILURE ANALYSIS
- Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning
- (2020) Dongho Kang et al. AUTOMATION IN CONSTRUCTION
- Pixel-level detection and measurement of concrete crack using faster region-based convolutional neural network and morphological feature extraction
- (2020) Shengyuan Li et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Automatic Crack Segmentation for UAV-Assisted Bridge Inspection
- (2020) Yonas Zewdu Ayele et al. Energies
- Automatic recognition of surface cracks in bridges based on 2D-APES and mobile machine vision
- (2020) Danhui Dan et al. MEASUREMENT
- SDDNet: Real-Time Crack Segmentation
- (2019) Wooram Choi et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Assessment of the feasibility of detecting concrete cracks in images acquired by unmanned aerial vehicles
- (2018) Xingu Zhong 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
- Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle
- (2018) In-Ho Kim et al. SENSORS
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