Automatic sewer defect detection and severity quantification based on pixel-level semantic segmentation

Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning

(2021) Dimitris Dais et al.   AUTOMATION IN CONSTRUCTION

Towards an automated condition assessment framework of underground sewer pipes based on closed-circuit television (CCTV) images

(2021) Mingzhu Wang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Convolutional Neural Networks–Based Model for Automated Sewer Defects Detection and Classification

(2021) Qianqian Zhou et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN

(2021) Yingying Xu et al.   MEASUREMENT

Artificial intelligence quality inspection of steel bars installation by integrating mask R-CNN and stereo vision

(2021) Yurii Kardovskyi et al.   AUTOMATION IN CONSTRUCTION

Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning

(2021) Dandan Wang et al.   BIOSYSTEMS ENGINEERING

An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement

(2020) Ankang Ji et al.   AUTOMATION IN CONSTRUCTION

Automated pavement crack detection and segmentation based on two‐step convolutional neural network

(2020) Jingwei Liu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automatic railroad track components inspection using real‐time instance segmentation

(2020) Feng Guo et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning

(2020) Mingzhu Wang et al.   AUTOMATION IN CONSTRUCTION

BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives

(2020) M.Q. Huang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in a southern Chinese city

(2019) Xiangyang Ye et al.   Frontiers of Environmental Science & Engineering

A unified convolutional neural network integrated with conditional random field for pipe defect segmentation

(2019) Mingzhu Wang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Concrete crack detection using context‐aware deep semantic segmentation network

(2019) Xinxiang Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A defect classification methodology for sewer image sets with convolutional neural networks

(2019) Dirk Meijer et al.   AUTOMATION IN CONSTRUCTION

Underground sewer pipe condition assessment based on convolutional neural networks

(2019) Syed Ibrahim Hassan et al.   AUTOMATION IN CONSTRUCTION

Concrete bridge surface damage detection using a single‐stage detector

(2019) Chaobo Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Machine learning based novelty detection using modal analysis

(2019) Ali I. Ozdagli et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automatic Detection and Classification of Sewer Defects via Hierarchical Deep Learning

(2019) Qian Xie et al.   IEEE Transactions on Automation Science and Engineering

A deep learning-based framework for an automated defect detection system for sewer pipes

(2019) Xianfei Yin et al.   AUTOMATION IN CONSTRUCTION

Deep Learning–Based Automated Detection of Sewer Defects in CCTV Videos

(2019) Srinath Shiv Kumar et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

SDDNet: Real-Time Crack Segmentation

(2019) Wooram Choi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks

(2018) Srinath S. Kumar et al.   AUTOMATION IN CONSTRUCTION

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

(2018) Jack C.P. Cheng et al.   AUTOMATION IN CONSTRUCTION

Pixel-Wise Crack Detection Using Deep Local Pattern Predictor for Robot Application

(2018) Yundong Li et al.   SENSORS

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE