In any infrastructure project, managing the built assets is an important task. In the
case of transportation asset inventories, a significant cost and effort is spent on recording
and storing the asset information. In order to reduce the time and cost involved in road
corridor mapping, this paper proposes a low cost MMS (Mobile Mapping System) using
an equipped laser scanner and cameras. The process of building the MMS, components and
sensors involved and calibration procedures are discussed. The efficiency of this Mobile
Mapping System is experimented by mounting it on a truck and golf cart. The paper also
provides a framework to extract road assets both automatically and manually using stateof-
the-art techniques. The efficiency of this method is compared with traditional field
survey methods. Quality of collected data, data integrity and process flow are experimented
with a sample asset management framework and a spatial database structure for mapping
road corridor features. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection
| Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_33488 |
| Contributors | Sairam, Nivedita (author), Nagarajan, Sudhagar (Thesis advisor), Florida Atlantic University (Degree grantor), College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering |
| Publisher | Florida Atlantic University |
| Source Sets | Florida Atlantic University |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation, Text |
| Format | 133 p., application/pdf |
| Rights | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
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