标题
Automated asphalt pavement damage rate detection based on optimized GA-CNN
作者
关键词
Road damage rate (DR), Pavement surface condition index (PCI), Road maintenance, Convolutional neural network (CNN), Image processing
出版物
AUTOMATION IN CONSTRUCTION
Volume 136, Issue -, Pages 104180
出版商
Elsevier BV
发表日期
2022-02-23
DOI
10.1016/j.autcon.2022.104180
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。- Concrete Crack Detection Based on Well-Known Feature Extractor Model and the YOLO_v2 Network
- (2021) Shuai Teng et al. Applied Sciences-Basel
- Semi-supervised semantic segmentation network for surface crack detection
- (2021) Wenjun Wang et al. AUTOMATION IN CONSTRUCTION
- 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
- Public charging station location determination for electric ride-hailing vehicles based on an improved genetic algorithm
- (2021) Jiale Li et al. Sustainable Cities and Society
- Pavement defect detection with fully convolutional network and an uncertainty framework
- (2020) Zheng Tong et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automatic crack recognition for concrete bridges by fully convolutional neural network and Naive Bayes data fusion based on visual detection system
- (2020) Gang Li et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Deep convolution neural network-based transfer learning method for civil infrastructure crack detection
- (2020) Qiaoning Yang et al. AUTOMATION IN CONSTRUCTION
- An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement
- (2020) Ankang Ji et al. AUTOMATION IN CONSTRUCTION
- Deep machine learning approach to develop a new asphalt pavement condition index
- (2020) Hamed Majidifard et al. CONSTRUCTION AND BUILDING MATERIALS
- Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning
- (2020) Dongho Kang 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
- Examining the Relationship Between Two Road Performance Indicators: Pavement Condition Index and International Roughness Index
- (2020) S. Madeh Piryonesi et al. Transportation Geotechnics
- Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field
- (2020) Gang Li et al. MEASUREMENT
- Integrating discrete event simulation and genetic algorithm optimization for bridge maintenance planning
- (2020) Mohammad Hosein Nili et al. AUTOMATION IN CONSTRUCTION
- Predicted responses of fatigue cracking and rutting on Roller Compacted Concrete base composite pavements
- (2020) Hedelvan Emerson Fardin et al. CONSTRUCTION AND BUILDING MATERIALS
- Patch-Based Crack Detection in Black Box Images Using Convolutional Neural Networks
- (2019) Somin Park et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Faster region convolutional neural network for automated pavement distress detection
- (2019) Liang Song et al. Road Materials and Pavement Design
- Computer vision-based concrete crack detection using U-net fully convolutional networks
- (2019) Zhenqing Liu et al. AUTOMATION IN CONSTRUCTION
- Segment-based pavement crack quantification
- (2019) Xingxing Weng et al. AUTOMATION IN CONSTRUCTION
- Automatic structural design of RC wall-slab buildings using a genetic algorithm with application in BIM environment
- (2019) S. Tafraout et al. AUTOMATION IN CONSTRUCTION
- Densely connected deep neural network considering connectivity of pixels for automatic crack detection
- (2019) Qipei Mei et al. AUTOMATION IN CONSTRUCTION
- Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
- (2019) Fan Yang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Pothole Detection and Classification Using 3D Technology and Watershed Method
- (2018) Yi-Chang (James) Tsai et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
- (2018) Xincong Yang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Deep learning-based automatic volumetric damage quantification using depth camera
- (2018) Gustavo H. Beckman et al. AUTOMATION IN CONSTRUCTION
- A Specified Procedure for Distress Identification and Assessment for Urban Road Surfaces Based on PCI
- (2017) et al. Coatings
- Automatic Road Crack Detection and Characterization
- (2012) Henrique Oliveira et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Adaptive Road Crack Detection System by Pavement Classification
- (2011) Miguel Gavilán et al. SENSORS
- A novel multi-threshold segmentation approach based on differential evolution optimization
- (2010) Erik Cuevas et al. EXPERT SYSTEMS WITH APPLICATIONS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now