Using an Unmanned Aerial Vehicle to Produce Accurate Grade Crossing Profile Data

Baron, William R.; daSilva, Marco P.

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Using an Unmanned Aerial Vehicle to Produce Accurate Grade Crossing Profile Data

2019-12-01
By Baron, William R. ; daSilva, Marco P.

File Language:

English

Details

Creators:

Baron, William R. ; daSilva, Marco P.
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Corporate Contributors:

United States. Department of Transportation. Federal Railroad Administration. Office of Railroad Policy and Development ; United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology
Subject/TRT Terms:
Publication/ Report Number:

DOT/FRA/ORD-19/49;DOT-VNTSC-FRA-20-02
Resource Type:

Tech Report
Geographical Coverage:

United States
Contracting Officer:

Bedini Jacobini, Francesco
Corporate Publisher:

United States. Department of Transportation. Federal Railroad Administration
Abstract:

The U.S. Department of Transportation (DOT) John A. Volpe National Transportation Systems Center (Volpe), under the direction of DOT's Federal Railroad Administration (FRA), Office of Research, Development and Technology, studied the use of unmanned aerial vehicles (UAVs) to produce accurate 3-dimensional models of high-profile highway-rail grade crossings. Volpe found that photogrammetry with ground control points can produce models with similar accuracy to those produce using UDAR at a much lower cost. Volpe determined the process needed to achieve a simple measurement of ground clearance for these crossings and makes recommendations to FRA for pursuing this capability, and to work with FHWA to provide better information to drivers of low-clearance vehicles.
Content Notes:

Safety of Highway-Rail Grade Crossing series
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/44453/dot_44453_DS1.pdf
File Type:

[PDF - 3.18 MB]
Collection(s):

Volpe Center ; Federal Railroad Administration
Main Document Checksum:

urn:sha-512:9811d93d562e0d99ad723ec00c993cb1c98e31cbb2200298d1695e3a7bd2bc49bb0c5b8a7dec5ff1c8e5511c3698c9bcb41568d56dc08c60bd21ed94d692d571

File Language:

English

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