Using small unmanned aerial vehicle in 3D modeling of highways with tree-covered roadsides to estimate sight distance

Iglesias Martínez, Luis and Santos Berbel, César De and Pascual Gallego, Valero and Castro Malpica, María (2019). Using small unmanned aerial vehicle in 3D modeling of highways with tree-covered roadsides to estimate sight distance. "Remote Sensing", v. 11 (n. 22); pp. 1-13. ISSN 2072-4292. https://doi.org/10.3390/rs11222625.

Description

Title: Using small unmanned aerial vehicle in 3D modeling of highways with tree-covered roadsides to estimate sight distance
Author/s:
  • Iglesias Martínez, Luis
  • Santos Berbel, César De
  • Pascual Gallego, Valero
  • Castro Malpica, María
Item Type: Article
Título de Revista/Publicación: Remote Sensing
Date: 2019
ISSN: 2072-4292
Volume: 11
Subjects:
Freetext Keywords: unmanned aerial vehicles; Structure from Motion; 3D modeling; road safety
Faculty: E.T.S.I. de Minas y Energía (UPM)
Department: Ingeniería Geológica y Minera
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The safe and efficient operation of highways largely depends on the adequate provision of sight distance. Small unmanned aerial vehicles (UAVs) can be utilized to efficiently complete data acquisition very soon after identifying an issue when searching for potential highway safety risks. A double grid flight is proposed to obtain an adequate three-dimensional (3D) recreation of the road environment, ensuring an unbiased sight distance output. Then, a dense cloud point is derived through a Structure from Motion Multi-View Stereo process. The point cloud is classified to produce both a terrain model, characterized by its resolution, and a 3D-object model, characterized by the maximum edge length of the entities. The resulting road environment model is utilized to calculate sight distance in a geographic information system. The results enabled the detection of accident-prone locations caused by sight distance limitations. Moreover, the impact of the 3D modeling parameters on the results was assessed.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTRA2015-63579-RUnspecifiedUnspecifiedNuevas tecnologías geoespaciales para estudios de seguridad vial

More information

Item ID: 62532
DC Identifier: http://oa.upm.es/62532/
OAI Identifier: oai:oa.upm.es:62532
DOI: 10.3390/rs11222625
Official URL: https://www.mdpi.com/2072-4292/11/22/2625
Deposited by: Memoria Investigacion
Deposited on: 01 Sep 2020 13:33
Last Modified: 01 Sep 2020 13:33
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