Towards smart cities: crowdsensing-based monitoring of transportation infrastructure using in-traffic vehicles
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Towards smart cities: crowdsensing-based monitoring of transportation infrastructure using in-traffic vehicles
Authors
Keywords
-
Journal
Journal of Civil Structural Health Monitoring
Volume 10, Issue 4, Pages 653-665
Publisher
Springer Science and Business Media LLC
Online
2020-06-03
DOI
10.1007/s13349-020-00411-6
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Applying Deep Learning to Continuous Bridge Deflection Detected by Fiber Optic Gyroscope for Damage Detection
- (2020) Sheng Li et al. SENSORS
- Inverse Filtering for Frequency Identification of Bridges Using Smartphones in Passing Vehicles: Fundamental Developments and Laboratory Verifications
- (2020) Nima Shirzad-Ghaleroudkhani et al. SENSORS
- Multi-level feature fusion in densely connected deep-learning architecture and depth-first search for crack segmentation on images collected with smartphones
- (2020) Qipei Mei et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Frequency Identification of Bridges Using Smartphones on Vehicles with Variable Features
- (2020) Nima Shirzad-Ghaleroudkhani et al. Journal of Bridge Engineering
- Vibration‐based structural state identification by a 1‐dimensional convolutional neural network
- (2019) Youqi Zhang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- VibroNet: Recurrent Neural Networks with Multi-target Learning for Image-based Vibration Frequency Measurement
- (2019) Jiantao Liu et al. JOURNAL OF SOUND AND VIBRATION
- Concrete crack detection using context‐aware deep semantic segmentation network
- (2019) Xinxiang Zhang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Computer vision-based concrete crack detection using U-net fully convolutional networks
- (2019) Zhenqing Liu et al. AUTOMATION IN CONSTRUCTION
- Structural displacement monitoring using deep learning-based full field optical flow methods
- (2019) Chuan-Zhi Dong et al. Structure and Infrastructure Engineering
- 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 Using Computer Vision and Learning
- (2019) Amita Dhiman et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A novel unsupervised deep learning model for global and local health condition assessment of structures
- (2018) Mohammad Hossein Rafiei et al. ENGINEERING STRUCTURES
- Crowdsensing Framework for Monitoring Bridge Vibrations Using Moving Smartphones
- (2018) Thomas J. Matarazzo et al. PROCEEDINGS OF THE IEEE
- Indirect health monitoring of bridges using Mel-frequency cepstral coefficients and principal component analysis
- (2018) Qipei Mei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Autonomous concrete crack detection using deep fully convolutional neural network
- (2018) Cao Vu Dung et al. AUTOMATION IN CONSTRUCTION
- Application of empirical mode decomposition to drive-by bridge damage detection
- (2017) Eugene J. OBrien et al. EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
- Automatic Road Crack Detection Using Random Structured Forests
- (2016) Yong Shi et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Structural Identification for Mobile Sensing with Missing Observations
- (2016) Thomas J. Matarazzo et al. JOURNAL OF ENGINEERING MECHANICS
- A mode shape-based damage detection approach using laser measurement from a vehicle crossing a simply supported bridge
- (2016) Eugene J. OBrien et al. Structural Control & Health Monitoring
- Structural Identification for Mobile Sensing with Missing Observations
- (2016) Thomas J. Matarazzo et al. JOURNAL OF ENGINEERING MECHANICS
- A Review of Indirect Bridge Monitoring Using Passing Vehicles
- (2015) Abdollah Malekjafarian et al. SHOCK AND VIBRATION
- Review of remote sensing methodologies for pavement management and assessment
- (2015) E. Schnebele et al. European Transport Research Review
- Review of remote sensing methodologies for pavement management and assessment
- (2015) E. Schnebele et al. European Transport Research Review
- Damage assessment of a bridge based on mode shapes estimated by responses of passing vehicles
- (2014) Yoshinobu Oshima et al. Smart Structures and Systems
- Road Crack Detection Using Visual Features Extracted by Gabor Filters
- (2013) Eduardo Zalama et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- The use of a dynamic truck–trailer drive-by system to monitor bridge damping
- (2013) Jennifer Keenahan et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started