A Proposed Method for Segmenting Reticular Structures Using 3D LiDAR Information

Abstract Identifying the different elements from the information provided by sensors is a key factor for a successful navigation. In this sense, this paper aims to evaluate the binary segmentation of different reticular structures using a proposed algorithm over 3D spatial information in simulated outdoor environments. The information has been generated synthetically by simulation using outdoor environments with multiple lattice structures. For this purpose, this work proposes, first, a specifically designed algorithm which uses well-established techniques such as RANSAC or region growing to achieve a binary segmentation. Second, this ad hoc algorithm is evaluated against a wide range of different structures. The results of the algorithm were evaluated using established metrics, including precision, recall, and F1-score, as well as its computational time. The experiments showed the good segmentation performance of the algorithm for all evaluated structures. The proposed algorithm demonstrates robustness and simplicity in the binary segmentation of reticular structures of different sizes in outdoor environments. All the code as well as the data used in this work can be found open source at https://github.com/Urwik/arvc_ground_filter

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Publication Details

Journal
SN Computer Science
Published
2026-03-17
DOI
https://doi.org/10.1007/s42979-026-04876-y
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
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article

A Proposed Method for Segmenting Reticular Structures Using 3D LiDAR Information

Marc Fabregat-Jaén, Adrián Peidró Vidal, Luis Payá Castelló, Francisco J. Soler Mora et al.
SN Computer Science
Robotics and Sensor-Based Localization
article

A Proposed Method for Segmenting Reticular Structures Using 3D LiDAR Information

Marc Fabregat-Jaén, Adrián Peidró Vidal, Luis Payá Castelló, Francisco J. Soler Mora, Óscar Reinoso García
article en

Abstract

Abstract Identifying the different elements from the information provided by sensors is a key factor for a successful navigation. In this sense, this paper aims to evaluate the binary segmentation of different reticular structures using a proposed algorithm over 3D spatial information in simulated outdoor environments. The information has been generated synthetically by simulation using outdoor environments with multiple lattice structures. For this purpose, this work proposes, first, a specifically designed algorithm which uses well-established techniques such as RANSAC or region growing to achieve a binary segmentation. Second, this ad hoc algorithm is evaluated against a wide range of different structures. The results of the algorithm were evaluated using established metrics, including precision, recall, and F1-score, as well as its computational time. The experiments showed the good segmentation performance of the algorithm for all evaluated structures. The proposed algorithm demonstrates robustness and simplicity in the binary segmentation of reticular structures of different sizes in outdoor environments. All the code as well as the data used in this work can be found open source at https://github.com/Urwik/arvc_ground_filter

SN Computer ScienceVol. 7(3)
Universitat de Miguel Hernández d'Elx (ES), Instituto Valenciano de la Edificación (ES)
Sustainable cities and communities
Openalex Percentile: Top 17%
Robotics and Sensor-Based Localization
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A Proposed Method for Segmenting Reticular Structures Using 3D LiDAR Information — Marc Fabregat-Jaén, Adrián Peidró Vidal, et al. · SN Computer Science (2026) | TGRS Research Map | TGRS