This project develops a comprehensive autonomous-driving benchmark for transitional weather, advancing robust road-element segmentation and a vision-language model for scene understanding. It results in an efficient, integrated system that combines segmentation and VLM capabilities to enhance ADAS performance in challenging, low-visibility real-world conditions.
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