Related references
Note: Only part of the references are listed.Enabling human-machine collaboration in infrastructure inspections through mixed reality
Zaid Abbas Al-Sabbag et al.
ADVANCED ENGINEERING INFORMATICS (2022)
Crack identification method for concrete structures considering angle of view using RGB-D camera-based sensor fusion
Hyunjun Kim et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)
Deep learning-based roadway crack classification with heterogeneous image data fusion
Shanglian Zhou et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)
Synthetic environments for vision-based structural condition assessment of Japanese high-speed railway viaducts
Yasutaka Narazaki et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Deep learning-based multi-class damage detection for autonomous post-disaster reconnaissance
Tarutal Ghosh Mondal et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2020)
Deep learning-based roadway crack classification using laser-scanned range images: A comparative study on hyperparameter selection
Shanglian Zhou et al.
AUTOMATION IN CONSTRUCTION (2020)
Concrete roadway crack segmentation using encoder-decoder networks with range images
Shanglian Zhou et al.
AUTOMATION IN CONSTRUCTION (2020)
Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning
Hyunjun Kim et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)
Deep learning-based automatic volumetric damage quantification using depth camera
Gustavo H. Beckman et al.
AUTOMATION IN CONSTRUCTION (2019)
Long-term displacement measurement of bridges using a LiDAR system
Junhwa Lee et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2019)
Automated Rutting Measurement Using an Inexpensive RGB-D Sensor Fusion Approach
Sayna Firoozi Yeganeh et al.
JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS (2019)
RGB-D object detection and semantic segmentation for autonomous manipulation in clutter
Max Schwarz et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2018)
Deep Transfer Learning for Image-Based Structural Damage Recognition
Yuqing Gao et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
Visual data classification in post-event building reconnaissance
Chul Min Yeum et al.
ENGINEERING STRUCTURES (2018)
NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naive Bayes Data Fusion
Fu-Chen Chen et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
A Kienect-Based Approach for 3D Pavement Surface Reconstruction and Cracking Recognition
Yuming Zhang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2018)
Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types
Young-Jin Cha et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
Multi-modal deep feature learning for RGB-D object detection
Xiangyang Xu et al.
PATTERN RECOGNITION (2017)
3D dynamic displacement-field measurement for structural health monitoring using inexpensive RGB-D based sensor
Mohamed Abdelbarr et al.
SMART MATERIALS AND STRUCTURES (2017)
Novel Macro- and Microtexture Indicators for Pavement Friction by Using High-Resolution Three-Dimensional Surface Data
Qiang (Joshua) Li et al.
TRANSPORTATION RESEARCH RECORD (2017)
Deep Projective 3D Semantic Segmentation
Felix Jaremo Lawin et al.
COMPUTER ANALYSIS OF IMAGES AND PATTERNS (2017)
Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Young-Jin Cha et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture
Caner Hazirbas et al.
COMPUTER VISION - ACCV 2016, PT I (2017)
Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation
Yanhua Cheng et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Matterport3D: Learning from RGB-D Data in Indoor Environments
Angel Chang et al.
PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON 3D VISION (3DV) (2017)
Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
Jinghua Wang et al.
COMPUTER VISION - ECCV 2016, PT V (2016)
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
Zhen Li et al.
COMPUTER VISION - ECCV 2016, PT II (2016)
Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition
Anran Wang et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2015)
Fast R-CNN
Ross Girshick
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Unsupervised Approach for Autonomous Pavement-Defect Detection and Quantification Using an Inexpensive Depth Sensor
Mohammad R. Jahanshahi et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2013)
An innovative methodology for detection and quantification of cracks through incorporation of depth perception
Mohammad R. Jahanshahi et al.
MACHINE VISION AND APPLICATIONS (2013)