L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions

LiDAR point clouds are significantly impacted by snow in driving scenarios, introducing scattered noise points and phantom objects, thereby compromising the perception capabilities of autonomous driving systems. Current effective methods for removing snow from point clouds largely rely on outlier fi...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yuxiao, Ding, Ming, Yang, Hanting, Niu, Yingjie, Feng, Yan, Ohtani, Kento, Takeda, Kazuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650494/
https://www.ncbi.nlm.nih.gov/pubmed/37960360
http://dx.doi.org/10.3390/s23218660

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650494/
https://www.ncbi.nlm.nih.gov/pubmed/37960360
http://dx.doi.org/10.3390/s23218660

Ejemplares similares