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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |