A Spatiotemporal Deep Learning Architecture for Road Surface Classification Using LiDAR in Autonomous Emergency Braking Systems
This paper proposes a spatiotemporal architecture with a deep neural network (DNN) for road surface conditions and types classification using LiDAR for autonomous emergency braking (AEB) systems. It is known that LiDAR provides information on the reflectivity and number of point clouds depending on...
| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
IEEE
2023-01-01
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| Colección: | IEEE Access |
| Materias: | |
| Acceso en línea: | https://ieeexplore.ieee.org/document/10286502/ |