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Characterizing zebra crossing zones using LiDAR data
dc.contributor.author | Esmorís Pena, Alberto Manuel | |
dc.contributor.author | López Vilariño, David | |
dc.contributor.author | Fernández Arango, David | |
dc.contributor.author | Varela-García, Francisco-Alberto | |
dc.contributor.author | Cabaleiro, José Carlos | |
dc.contributor.author | Rivera, Francisco F. | |
dc.date.accessioned | 2024-04-19T19:30:17Z | |
dc.date.available | 2024-04-19T19:30:17Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Esmorís, A. M., Vilariño, D. L., Arango, D. F., Varela‐García, F. A., Cabaleiro, J. C., Rivera, F. F. (2023). Characterizing zebra crossing zones using LiDAR data. Computer‐Aided Civil and Infrastructure Engineering, 38(13), 1767-1788. https://doi.org/10.1111/mice.12968 | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/36272 | |
dc.description.abstract | [Abstract:] Light detection and ranging (LiDAR) scanning in urban environments leads to accurate and dense three-dimensional point clouds where the different elements in the scene can be precisely characterized. In this paper, two LiDAR-based algorithms that complement each other are proposed. The first one is a novel profiling method robust to noise and obstacles. It accurately characterizes the curvature, the slope, the height of the sidewalks, obstacles, and defects such as potholes. It was effective for 48 of 49 detected zebra crossings, even in the presence of pedestrians or vehicles in the crossing zone. The second one is a detailed quantitative summary of the state of the zebra crossing. It contains information about the location, the geometry, and the road marking. Coarse grain statistics are more prone to obstacle-related errors and are only fully reliable for 18 zebra crossings free from significant obstacles. However, all the anomalous statistics can be analyzed by looking at the associated profiles. The results can help in the maintenance of urban roads. More specifically, they can be used to improve the quality and safety of pedestrian routes. | es_ES |
dc.description.sponsorship | This work has received financial support from the Consellería de Cultura, Educación e Ordenación Universitaria (accreditation 2019-2022 ED431G-2019/04, reference competitive group 2019-2021, ED431C 2018/19 and the predoctoral grant of Alberto Esmorís Ref. ED481A-2020/231) and the European Regional Development Fund (ERDF), which acknowledges the CiTIUS-Research Center in Intelligent Technologies of the University of Santiago de Compostela as a Research Center of the Galician University System. This work was also supported by the Ministry of Economy and Competitiveness, Government of Spain (Grant Number PID2019-104834GB-I00) and the National Department of Traffic (DGT) through the project Analysis of Indicators Big-Geodata on Urban Roads for the Dynamic Design of Safe School Roads (Grant Number SPIP2017-02340). | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G-2019/04 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C-2018/19 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED481A-2020/231 | es_ES |
dc.description.sponsorship | Dirección General de Tráfico (DGT); SPIP2017-02340 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Wiley | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104834GB-I00/ES/COMPUTACION DE ALTAS PRESTACIONES Y CLOUD PARA APLICACIONES DE ALTO INTERES | es_ES |
dc.relation.uri | https://doi.org/10.1111/mice.12968 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Light detection and ranging | es_ES |
dc.subject | LiDAR | es_ES |
dc.subject | Zebra crossings | es_ES |
dc.subject | Urban roads | es_ES |
dc.subject | Quality pedestrian routes | es_ES |
dc.subject | Safe pedestrian routes | es_ES |
dc.title | Characterizing zebra crossing zones using LiDAR data | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Computer‐Aided Civil and Infrastructure Engineering | es_ES |
UDC.volume | 38 | es_ES |
UDC.issue | 13 | es_ES |
UDC.startPage | 1767 | es_ES |
UDC.endPage | 1788 | es_ES |
dc.identifier.doi | 10.1111/mice.12968 |