This session will highlight the state-of-the art in pavement condition evaluation. It will feature presentations on new ways to analyze distress data, new twists on existing data collection technology, and new technologies to process the data.
Title | Presentation Number |
---|---|
Novel Approach for Evaluation of Pavements Affected by Pavement Tenting (Crack-Heaving): Integrated, Multi-Sensor Non-Destructive Testing System
Eyoab Zegeye Teshale, Minnesota Department of Transportation
Show Abstract
Thomas Calhoon, University of Minnesota Eddie Johnson, Minnesota Department of Transportation Shongtao Dai, Minnesota Department of Transportation |
TRBAM-21-00138 |
Detection of Concealed Cracks from GPR Images Based on YOLO Series
Shuwei Li (shuweil@foxmail.com), Southeast University
Show Abstract
Xingyu Gu, Southeast University Xiangrong Xu, Nanjing Municipal Public Engineering Qualitu Inspection Center Station Dawei Xu, Nanjing Municipal Public Engineering Qualitu Inspection Center Station Tianjie Zhang, Zhejiang Scientific Research Institute of Transport Qiao Dong, Southeast University Zhen Liu, Southeast University |
TRBAM-21-01019 |
Automatic Pixel-level Pavement Crack Detection based on Stereovision Technology and Deep Learning
Jinchao Guan, Chang'an University
Show Abstract
Xu Yang (yang.xu@chd.edu.cn), Chang'an University Ling Ding, Chang'an University Jingwei Liu, Monash University Xiaoyun Cheng, Chang'an University |
TRBAM-21-01258 |
Bicycle Level of Service: Proposed Updated Pavement Quality Index
Jiayun Huang, University of California, Berkeley
Show Abstract
Nicholas Fournier, University of California, Berkeley Alexander Skabardonis, University of California, Berkeley |
TRBAM-21-01847 |
A Novel Adaptive Pixels Segmentation Algorithm for Pavement Crack Detection
Nima Safaei, University of Iowa
Show Abstract
Omar Smadi, Iowa State University Babak Safaei, Michigan State University Arezoo Masoud, University of Iowa |
TRBAM-21-02055 |
Spatial Roadway Condition-Assessment Mapping Utilizing Smartphones and Machine Learning Algorithms
Charalambos Kyriakou (kyriakou.charalambos@ucy.ac.cy), University of Cyprus
Show Abstract
Symeon Christodoulou, University of Cyprus Loukas Dimitriou, University of Cyprus |
TRBAM-21-02416 |
Jointed Plain Concrete (JPC) Pavement Variability and Method to Complement JPC Design with 3D Pavement Data
Georgene Geary, GGfGA Engineering
Show Abstract
Yichang Tsai, Georgia Institute of Technology (Georgia Tech) |
TRBAM-21-02875 |
Live Road Condition Assessment With Internal Vehicle Sensors
Eyal Levenberg, DTU Byg
Show Abstract
Asmus Skar, DTU Byg Shahrzad Pour, Danmarks Tekniske Universitet Ekkart Kindler, Danmarks Tekniske Universitet Matteo Pettinari, Vejdirektoratet Milena Bajic, Danmarks Tekniske Universitet Tommy Alstrøm, Danmarks Tekniske Universitet Uwe Schlotz, Sweco Danmark |
TRBAM-21-03128 |
Pavement Distress and Debris Detection using a Mobile Mapping System with 2D Profiler LiDAR
Radhika Ravi, Purdue University
Show Abstract
Darcy Bullock, Purdue University Ayman Habib, Purdue University |
TRBAM-21-03252 |
Automated Detection and Classification of Pavement Distresses Using 3D Pavement Surface Images and Deep Learning
Rohit Ghosh, Iowa State University
Show Abstract
Omar Smadi, Iowa State University |
TRBAM-21-03383 |
Automated Asphalt Pavement Raveling Detection and Classification Using Convolutional Neural Network and Macrotexture Analysis
Yung-An Hsieh, Georgia Institute of Technology (Georgia Tech)
Show Abstract
Yichang Tsai, Georgia Institute of Technology (Georgia Tech) |
TRBAM-21-03626 |
Quantify Raveling Using 3D Technology with Loss of Aggregates as A New Performance Indicator
Pingzhou Yu, Georgia Institute of Technology (Georgia Tech)
Show Abstract
Yichang Tsai, Georgia Institute of Technology (Georgia Tech) |
TRBAM-21-03629 |
Non-Destructive Detection of Asphalt Concrete Stripping Damage Using Ground Penetrating Radar
Ye Ma, Louisiana State University
Show Abstract
Mostafa Elseifi (elseifi@lsu.edu), Louisiana State University Nirmal Dhakal, Louisiana State University Mohammad Bashar, University of Colorado, Boulder Zhongjie Zhang, Louisiana Department of Transportation and Development |
TRBAM-21-03818 |
Use of The Pavement Surface Condition Metric to Quantify Distresses from Digital Images
Danilo Balzarini, International Cybernetics Co.
Show Abstract
James Erskine, International Cybernetics Co. Michael Nieminen, International Cybernetics Co. |
TRBAM-21-03866 |
Application of Machine Learning Based Technology in Pavement Condition Assessment and Prediction
Jiawei Gao, Northern Arizona University
Show Abstract
Chun-Hsing Ho, Northern Arizona University Igor Wiese, Northern Arizona University Dada Zhang, Northern Arizona University Marco Gerosa, Northern Arizona University |
TRBAM-21-03949 |
Application of Mobile Terrestrial LiDAR Scanning Systems for Identification of Potential Pavement Rutting Locations
Afshin Famili, Texas Department of Transportation
Show Abstract
Wayne Sarasua, Clemson University Alireza Shams, SUNY Farmingdale William Davis, Citadel Military College Jennifer Ogle, Clemson University |
TRBAM-21-03720 |
DISCLAIMER: All information shared in the TRB Annual Meeting Online Program is subject to change without notice. Changes, if necessary, will be updated in the Online Program and this page is the final authority on schedule information.