Exploring Sensor Impact and Architectural Robustness in Adverse Weather on BEV Perception
Reliable perception in automated vehicles under adverse conditions, such as fog, rain, snow, and lens defocus, is essential for maintaining the safety of road actors and particularly of vulnerable road users. While prior work has primarily focused on camera occlusions, the impact on RADAR and LiDAR...
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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2025-01-01
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| coleção: | IEEE Open Journal of Vehicular Technology |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11204511/ |
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