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Real-Time Detection of Non-Stationary Objects Using Intensity Data in Automotive LiDAR SLAM
This article aims at demonstrating the feasibility of modern deep learning techniques for the real-time detection of non-stationary objects in point clouds obtained from 3-D light detecting and ranging (LiDAR) sensors. The motion segmentation task is considered in the application context of automoti...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538971/ https://www.ncbi.nlm.nih.gov/pubmed/34695994 http://dx.doi.org/10.3390/s21206781 |