GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning

High-quality data are of utmost importance for any deep-learning application. However, acquiring such data and their annotation is challenging. This paper presents a GPU-accelerated simulator that enables the generation of high-quality, perfectly labelled data for any Time-of-Flight sensor, includin...

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Detalles Bibliográficos
Autores principales: Denis, Leon, Royen, Remco, Bolsée, Quentin, Vercheval, Nicolas, Pižurica, Aleksandra, Munteanu, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574882/
https://www.ncbi.nlm.nih.gov/pubmed/37836959
http://dx.doi.org/10.3390/s23198130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574882/
https://www.ncbi.nlm.nih.gov/pubmed/37836959
http://dx.doi.org/10.3390/s23198130

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