MTLS_point_cloud_generation

Matlab implementation to generate 3D point clouds from data acquired with VLP-16 and GNSS GPS1200+. This project is a Matlab implementation to generate 3D point clouds from data acquired with a mobile terrestrial laser scanner (MTLS) comprised of a LiDAR sensor Velodyne VLP-16 (Velodyne LIDAR Inc.,...

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Detalles Bibliográficos
Autores: Gené Mola, Jordi, Gregorio López, Eduard, Auat Cheein, Fernando, Guevara, Javier, Llorens Calveras, Jordi, Sanz Cortiella, Ricardo, Escolà i Agustí, Alexandre, Rosell Polo, Joan Ramon
Tipo de recurso: conjunto de datos
Fecha de publicación:2025
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:dnet:.___________::badb94721b61a320682d4ee9333c9be7
Acceso en línea:https://doi.org/10.34810/DATA2336
Access Level:acceso abierto
Palabra clave:Agricultural Sciences
Engineering
Precision agriculture
Fruit crops
Remote sensing
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network_acronym_str ES
network_name_str España
repository_id_str
spelling MTLS_point_cloud_generationGené Mola, JordiGregorio López, EduardAuat Cheein, FernandoGuevara, JavierLlorens Calveras, JordiSanz Cortiella, RicardoEscolà i Agustí, AlexandreRosell Polo, Joan RamonAgricultural SciencesEngineeringPrecision agricultureFruit cropsRemote sensingMatlab implementation to generate 3D point clouds from data acquired with VLP-16 and GNSS GPS1200+. This project is a Matlab implementation to generate 3D point clouds from data acquired with a mobile terrestrial laser scanner (MTLS) comprised of a LiDAR sensor Velodyne VLP-16 (Velodyne LIDAR Inc., San Jose, CA, USA) and a GNSS position sensor GPS1200+ (Leica Geosystems AG, Heerbrugg, Swizeland). This implementation was used to generate the point clouds provided in LFuji-air dataset, which contains 3D LiDAR data of 11Fuji apple trees with the corresponding fruit position annotations.CORA.Repositori de Dades de RecercaGené Mola, Jordi2025info:eu-repo/semantics/datasethttps://doi.org/10.34810/DATA2336reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)Inglésinfo:eu-repo/semantics/openAccessMIToai:dnet:.___________::badb94721b61a320682d4ee9333c9be72026-06-24T12:42:17Z
dc.title.none.fl_str_mv MTLS_point_cloud_generation
title MTLS_point_cloud_generation
spellingShingle MTLS_point_cloud_generation
Gené Mola, Jordi
Agricultural Sciences
Engineering
Precision agriculture
Fruit crops
Remote sensing
title_short MTLS_point_cloud_generation
title_full MTLS_point_cloud_generation
title_fullStr MTLS_point_cloud_generation
title_full_unstemmed MTLS_point_cloud_generation
title_sort MTLS_point_cloud_generation
dc.creator.none.fl_str_mv Gené Mola, Jordi
Gregorio López, Eduard
Auat Cheein, Fernando
Guevara, Javier
Llorens Calveras, Jordi
Sanz Cortiella, Ricardo
Escolà i Agustí, Alexandre
Rosell Polo, Joan Ramon
author Gené Mola, Jordi
author_facet Gené Mola, Jordi
Gregorio López, Eduard
Auat Cheein, Fernando
Guevara, Javier
Llorens Calveras, Jordi
Sanz Cortiella, Ricardo
Escolà i Agustí, Alexandre
Rosell Polo, Joan Ramon
author_role author
author2 Gregorio López, Eduard
Auat Cheein, Fernando
Guevara, Javier
Llorens Calveras, Jordi
Sanz Cortiella, Ricardo
Escolà i Agustí, Alexandre
Rosell Polo, Joan Ramon
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Gené Mola, Jordi
dc.subject.none.fl_str_mv Agricultural Sciences
Engineering
Precision agriculture
Fruit crops
Remote sensing
topic Agricultural Sciences
Engineering
Precision agriculture
Fruit crops
Remote sensing
description Matlab implementation to generate 3D point clouds from data acquired with VLP-16 and GNSS GPS1200+. This project is a Matlab implementation to generate 3D point clouds from data acquired with a mobile terrestrial laser scanner (MTLS) comprised of a LiDAR sensor Velodyne VLP-16 (Velodyne LIDAR Inc., San Jose, CA, USA) and a GNSS position sensor GPS1200+ (Leica Geosystems AG, Heerbrugg, Swizeland). This implementation was used to generate the point clouds provided in LFuji-air dataset, which contains 3D LiDAR data of 11Fuji apple trees with the corresponding fruit position annotations.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv https://doi.org/10.34810/DATA2336
url https://doi.org/10.34810/DATA2336
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
MIT
eu_rights_str_mv openAccess
rights_invalid_str_mv MIT
dc.publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404478392762368
score 15,812429

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