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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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I tiakina i:
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Ngā kaituhi matua: Nikos Theodoridis, Tim Brophy, Reenu Mohandas, Ganesh Sistu, Fiachra Collins, Anthony Scanlan, Ciaran Eising
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2026-01-01
Rangatū:IEEE Open Journal of Vehicular Technology
Ngā marau:
Urunga tuihono:https://ieeexplore.ieee.org/document/11230063/
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