Evaluating Small Vision-Language Models on Distance-Dependent Traffic Perception
Vision-Language Models (VLMs) are becoming increasingly powerful, demonstrating strong performance on tasks that require both visual and textual understanding. Their strong generalisation abilities make them a promising component for automated driving systems, which must handle unexpected corner cas...
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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Open Journal of Vehicular Technology |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11230063/ |
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