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:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::14989dd5a13c6112458e791bfaaf9e4d
Acceso en línea:https://doi.org/10.34810/DATA2336
Access Level:acceso abierto
Palabra clave:Agricultural Sciences
Engineering
Precision agriculture
Fruit crops
Remote sensing
Descripción
Sumario: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.

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