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Research on Driving Obstacle Detection Technology in Foggy Weather Based on GCANet and Feature Fusion Training
The issues of the degradation of the visual sensor’s image quality in foggy weather and the loss of information after defogging have brought great challenges to obstacle detection during autonomous driving. Therefore, this paper proposes a method for detecting driving obstacles in foggy weather. The...
| 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/PMC10007539/ https://www.ncbi.nlm.nih.gov/pubmed/36905026 http://dx.doi.org/10.3390/s23052822 |