RT Journal Article
T1 Characterizing zebra crossing zones using LiDAR data
A1 Esmorís Pena, Alberto Manuel
A1 López Vilariño, David
A1 Arango, David F.
A1 Varela García, Francisco Alberto
A1 Cabaleiro Domínguez, José Carlos
A1 Fernández Rivera, Francisco
K1 Zebra crossing zones
K1 Light detection and ranging
K1 LiDAR
K1 Safety of pedestrians
AB 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
PB Wiley
SN 1093-9687
YR 2023
FD 2023
LK http://hdl.handle.net/10347/30794
UL http://hdl.handle.net/10347/30794
LA eng
NO Esmorís, A. M., Vilariño, D. L., Arango, D. F., Varela-García, F.-A., Cabaleiro, José~C., & Rivera, F. F. (2023). Characterizing zebra crossing zones using LiDAR data. Computer-Aided Civil and Infrastructure Engineering, 1–22. https://doi.org/10.1111/mice.12968
NO Consellería de Cultura, Educación e Ordenación Universitaria, Grant/Award Numbers: accreditation 2019-2022 ED431G-2019/04, 2022-2024, ED431C2022/16, ED481A-2020/231; European Regional Development Fund (ERDF);  CiTIUS-Research Center in Intelligent Technologies of the University of Santiago de Compostela as a Research Center of the Galician University System; Ministry of Economy and Competitiveness, Government of Spain, Grant/Award Number: PID2019-104834GB-I00; 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/Award Number: SPIP2017-02340
DS Minerva
RD 28 abr 2026