Framework for 3D Point Cloud Modelling Aimed at Road Sight Distance Estimations

González Gómez, Keila and Iglesias Martínez, Luis and Rodríguez-Solano Suárez, Roberto and Castro Malpica, María (2019). Framework for 3D Point Cloud Modelling Aimed at Road Sight Distance Estimations. "Remote Sensing", v. 11 (n. 23); p. 2730. ISSN 2072-4292. https://doi.org/10.3390/rs11232730.

Description

Title: Framework for 3D Point Cloud Modelling Aimed at Road Sight Distance Estimations
Author/s:
  • González Gómez, Keila
  • Iglesias Martínez, Luis
  • Rodríguez-Solano Suárez, Roberto
  • Castro Malpica, María
Item Type: Article
Título de Revista/Publicación: Remote Sensing
Date: November 2019
ISSN: 2072-4292
Volume: 11
Subjects:
Freetext Keywords: 3D Point Cloud, 3D Objects, LiDAR Models, Sight Distance, Road Safety
Faculty: E.T.S.I. Caminos, Canales y Puertos (UPM)
Department: Ingeniería Civil: Transporte y Territorio
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Existing roads require periodic evaluation in order to ensure safe transportation. Estimations of the available sight distance (ASD) are fundamental to make sure motorists have sufficient visibility to perform basic driving tasks. Mobile LiDAR Systems (MLS) can provide these evaluations with accurate three-dimensional models of the road and surroundings. Similarly, Geographic Information System (GIS) tools have been employed to obtain ASD. Due to the fact that widespread GIS formats used to store digital surface models handle elevation as an attribute of location, the presented methodology has separated the representation of ground and aboveground elements. The road geometry and surrounding ground are stored in digital terrain models (DTM). Correspondingly, abutting vegetation, manmade structures, road assets and other roadside elements are stored in 3D objects and placed on top of the DTM. Both the DTM and 3D objects are accurately obtained from a denoised and classified LiDAR point cloud. Based on the consideration that roadside utilities and most manmade structures are well-defined geometric elements, some visual obstructions are extracted and/or replaced with 3D objects from online warehouses. Different evaluations carried out with this method highlight the tradeoff between the accuracy of the estimations, performance and geometric complexity as well as the benefits of the individual consideration of road assets.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTRA2015-63579-RUnspecifiedGonzález Gómez, KeilaNuevas tecnologías geoespaciales para estudios de seguridad vial

More information

Item ID: 57717
DC Identifier: http://oa.upm.es/57717/
OAI Identifier: oai:oa.upm.es:57717
DOI: 10.3390/rs11232730
Official URL: https://www.mdpi.com/2072-4292/11/23/2730
Deposited by: Memoria Investigacion
Deposited on: 07 Apr 2020 13:32
Last Modified: 07 Apr 2020 13:32
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