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Sensors 2016, 16(3), 367; doi:10.3390/s16030367

Development of Mobile Mapping System for 3D Road Asset Inventory

1
Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University; 777 Glades Road, Boca Raton, FL 33431, USA
2
Keith and Schnars P.A, 6500 North Andrews Avenue, Fort Lauderdale, FL 33309, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 23 January 2016 / Revised: 4 March 2016 / Accepted: 7 March 2016 / Published: 12 March 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [2006 KB, uploaded 12 March 2016]   |  

Abstract

Asset Management is an important component of an infrastructure project. A significant cost is involved in maintaining and updating the asset information. Data collection is the most time-consuming task in the development of an asset management system. In order to reduce the time and cost involved in data collection, this paper proposes a low cost Mobile Mapping System using an equipped laser scanner and cameras. First, the feasibility of low cost sensors for 3D asset inventory is discussed by deriving appropriate sensor models. Then, through calibration procedures, respective alignments of the laser scanner, cameras, Inertial Measurement Unit and GPS (Global Positioning System) antenna are determined. The efficiency of this Mobile Mapping System is experimented by mounting it on a truck and golf cart. By using derived sensor models, geo-referenced images and 3D point clouds are derived. After validating the quality of the derived data, the paper provides a framework to extract road assets both automatically and manually using techniques implementing RANSAC plane fitting and edge extraction algorithms. Then the scope of such extraction techniques along with a sample GIS (Geographic Information System) database structure for unified 3D asset inventory are discussed. View Full-Text
Keywords: mobile mapping system; transportation asset inventory; LiDAR mobile mapping system; transportation asset inventory; LiDAR
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Sairam, N.; Nagarajan, S.; Ornitz, S. Development of Mobile Mapping System for 3D Road Asset Inventory. Sensors 2016, 16, 367.

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