GTASynth: 3D synthetic data of outdoor non-urban environments.

Developing point clouds registration, SLAM or place recognition algorithms requires data with a high quality ground truth (usually composed of a position and orientation). Moreover, many machine learning algorithms require large amounts of data for training. However, acquiring this kind of data in n...

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Detalles Bibliográficos
Autores principales: Curnis, Giovanni, Fontana, Simone, Sorrenti, Domenico G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9241091/
https://www.ncbi.nlm.nih.gov/pubmed/35781982
http://dx.doi.org/10.1016/j.dib.2022.108412

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9241091/
https://www.ncbi.nlm.nih.gov/pubmed/35781982
http://dx.doi.org/10.1016/j.dib.2022.108412

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