Robust Object Detection for Autonomous Driving in Adverse Weather Conditions With Multi-Scale Feature Enhancement
In autonomous driving under complex weather conditions, issues such as low detection accuracy and poor model generalization persist due to unstable illumination, target blurring, image occlusion, and enhanced background noise. To address these challenges, this paper proposes an improved multi-scale...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2025-01-01
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| Edice: | IEEE Open Journal of Intelligent Transportation Systems |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/11240119/ |
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