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Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds

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Published in:Foundations of Computing and Decision Sciences
Format: Online Article RSS Article
Published: 2025
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container_title Foundations of Computing and Decision Sciences
description
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institution FRELIP
journal_source_facet Foundations of Computing and Decision Sciences
last_indexed 2026-06-20T21:39:56.259Z
publishDate 2025
publishDateSort 2025
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spellingShingle Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds
title_alt Generación de Datos de Entrenamiento Libre de Anotaciones Usando Dominios Mixtos para Segmentación de Nubes de Puntos LiDAR 3D
Génération sans annotation de données d'entraînement utilisant des domaines mixtes pour la segmentation de nuages de points LiDAR 3D
Geração de Dados de Treinamento Livre de Anotação Usando Domínios Mistos para Segmentação de Nuvens de Pontos LiDAR 3D
title_auth Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds
title_es_txt Generación de Datos de Entrenamiento Libre de Anotaciones Usando Dominios Mixtos para Segmentación de Nubes de Puntos LiDAR 3D
title_fr_txt Génération sans annotation de données d'entraînement utilisant des domaines mixtes pour la segmentation de nuages de points LiDAR 3D
title_full Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds
title_fullStr Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds
title_full_unstemmed Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds
title_pt_txt Geração de Dados de Treinamento Livre de Anotação Usando Domínios Mistos para Segmentação de Nuvens de Pontos LiDAR 3D
title_short Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds
title_sort annotation-free generation of training data using mixed domains for segmentation of 3d lidar point clouds
topic Computer Science
General
Computer Science
url https://sciendo.com/article/10.2478/fcds-2025-0013