A Framework for Automated Pavement Condition Monitoring-Reference-Cited by-同舟云学术

A Framework for Automated Pavement Condition Monitoring

Published:2016-05-24 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2016
language:
Short-container-title:

Author:

Radopoulou Stefania C.¹²³⁴,Brilakis Ioannis¹²³⁴,Doycheva Kristina¹²³⁴,Koch Christian¹²³⁴

Affiliation:

1. Ph.D. Student, Dept. of Engineering, Univ. of Cambridge, ISG-62, Trumpington St., Cambridge CB2 1PZ, U.K.

2. Laing O’Rourke Lecturer of Construction Engineering, Dept. of Engineering, Univ. of Cambridge, BC2-07, Trumpington St., Cambridge CB2 1PZ, U.K.

3. Ph.D. Student, Chair of Computing in Engineering, Ruhr-Universität Bochum, Universitätstraße 150, 44801 Bochum, Germany.

4. Associate Professor, Building Information Modelling, Faculty of Engineering, Univ. of Nottingham, Room B27 Coates Bldg., University Park, Nottingham NG7 2RD, U.K.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784479827.078

Reference42 articles.

1. Modeling of Crack Depths in Digital Images of Concrete Pavements Using Optical Reflection Properties

2. ASCE. (2013). "2013 report card for America's infrastructure." (Jul. 20 2013).

3. Sensor Fusion and Civil Infrastructure Systems Monitoring: A Valuation Algebras Analysis of Output Data

4. Battiato S. Cafiso S. Di Graziano A. Rizzo L. and Stanco F. (2006). "Pavement Surface Distress by Using Non-linear Image Analysis Techniques."

5. Interrater Reliability of Manual Pavement Distress Evaluations

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating Pavement Condition by Leveraging Crowdsourced Data;Remote Sensing;2024-06-20

2. A Systematic Review of the Use of Computer Vision and Photogrammetry Tools in Learning-Based Dimensional Road Pavement Defect Detection for Smart Transportation;2024 International Conference on Smart Applications, Communications and Networking (SmartNets);2024-05-28

3. Hybrid Transfer Learning and Support Vector Machine Models for Asphalt Pavement Distress Classification;Transportation Research Record: Journal of the Transportation Research Board;2024-05-04

4. Use of Photogrammetry and Laser Scanning Technologies in Runway Inspections;Construction Research Congress 2024;2024-03-18

5. Introduction of a new index to assess pavement functional condition;Environment, Development and Sustainability;2023-10-26