TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Evaluating the Accuracy of Mobile LiDAR for Mapping Airfield Infrastructure

Accession Number:

01701404

Record Type:

Component

Availability:

Find a library where document is available


Order URL: http://worldcat.org/issn/03611981

Abstract:

Mobile wheel-based LiDAR systems are capable of collecting a dense, accurate point cloud efficiently. Such systems provide accurate geospatial information of a scene, and thus show great potential to serve as an alternative infrastructure monitoring tool. In this study, two different surveys of runway 10/28 at Purdue University Airport (KLAF) were conducted. The surveys were performed in April and July of 2018 before and after a partial runway pavement resurfacing project. The study had two objectives: (1) evaluate the positional accuracy of derived features, and (2) evaluate LiDAR’s ability to detect changes in longitudinal/transversal profiles. The former used 10 static features in the point cloud; the latter used longitudinal and transversal profiles over a 1 mile-long runway section. For the 10 static features (runway lights), the root mean square errors (RMSE) of the coordinate differences are 0.13?ft, 0.08?ft, and 0.09?ft along the x, y, and z-directions, respectively. Considering the range and positional accuracy of the LiDAR and implemented GNSS/INS units, respectively, these RMSE values are acceptable. The derived numerical results from the longitudinal and cross-sectional profiles showed close alignment of pavement elevation where there was no construction activity and a 0.3?ft increase in elevation for the pavement section that was resurfaced. This paper provides a mechanism for evaluating the spatial accuracy of mobile LiDAR data and demonstrates its potential for mapping airfield infrastructure. As the technology improves, it is anticipated that cost-effective solutions yielding sub-centimeter accuracy will be available in next 18?months. Such availability, together with the established repeatability from this study, will stimulate more research and practical applications implementing mobile LiDAR systems.

Report/Paper Numbers:

19-04022

Language:

English

Authors:

Lin, Yi Chun
Cheng, Yi-Ting
Lin, Yun-Jou
Flatt, John Evan
Habib, Ayman
Bullock, Darcy

Pagination:

pp 117-124

Publication Date:

2019-4

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2673
Issue Number: 4
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Digital/other

Features:

Figures (9) ; Photos; References (12) ; Tables (4)

Identifier Terms:

Purdue University Airport

Subject Areas:

Aviation; Data and Information Technology; Pavements; Terminals and Facilities

Files:

TRIS, TRB, ATRI

Created Date:

Feb 20 2019 9:09AM