Assessing the Feasibility of Utilizing UAS-based Point Cloud in Pavement Smoothness/Roughness Measurement

This proposed effort will assess the feasibility of utilizing unmanned aerial system (UAS)-based point clouds in measuring pavement roughness, and this will be accomplished through the following tasks: (1) Establish a framework to process and calculate International Roughness Index (IRI) from UAS data. The proposed framework will take UAS-based point clouds as input, remove noise, extract pavement, create a terrain model, and generate profiles to extract roughness information. All the methods and approaches will be tailored targeting a more accurate and reliable IRI assessment. (2) Perform rigorous accuracy assessment for UAS data. This project will primarily use the UAS data that was collected in the Oregon Coastal area where terrestrial lidar data is also collected and can be served as ground truth to compare against: (a) Point-based: compare terrestrial lidar point cloud on a per-point basis; (b) Model-based: compare terrain models and IRI assessment results generated from terrestrial lidar point cloud and UAS data; and (c) Sensitivity analysis: test the sensitivity of different parameters and approaches used in noise removal, modeling, and roughness assessment. (3) Provide recommendations for UAS data acquisition and processing procedures for the purpose of assessing pavement roughness. For example, regarding to data collection, the selection of ground sampling distance (GSD) can be very important because it directly affects the resolution and precision of the model. In post-processing, there are many parameters and settings that can substantially impact the point cloud and model generated from UAS data. This task will optimize these acquisition and processing parameters and provide recommendations

Record URL:

Language

English

Project

Status: Active
Funding: $80000
Contract Numbers:
69A355174110
Sponsor Organizations:
Pacific Northwest Transportation Consortium

University of Washington
More Hall Room 112
Seattle, WA United States 98195-2700

Office of the Assistant Secretary for Research and Technology

University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590
Managing Organizations:
Oregon State University, Corvallis

Department of Civil Engineering
202 Apperson Hall
Corvallis, OR United States 97331-2302
Project Managers:
Che, Erzhuo
Performing Organizations:
Oregon State University, Corvallis

Department of Civil Engineering
202 Apperson Hall
Corvallis, OR United States 97331-2302
Principal Investigators:
Che, Erzhuo
Start Date: 20210316
Expected Completion Date: 20220315
Actual Completion Date: 0
USDOT Program: University Transportation Centers Program

Subject/Index Terms

TRT Terms: Data collection; Drones; Pavements; Roughness; Smoothness
Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements;

Filing Info

Accession Number: 01784892
Record Type: Research project
Source Agency: Pacific Northwest Transportation Consortium
Contract Numbers: 69A355174110
Files: UTC, RIP
Created Date: Oct 15 2021 2:46PM