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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |