Time-aware vehicle-speed prompts improve vision-language model accuracy for pedestrian crossing intent, but the claimed edge over specialized vision models is not consistent across the paper's own benchmarks.
Pedestrian action an- ticipation using contextual feature fusion in stacked rnns,
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Pedestrian Intention Prediction via Vision-Language Foundation Models
Time-aware vehicle-speed prompts improve vision-language model accuracy for pedestrian crossing intent, but the claimed edge over specialized vision models is not consistent across the paper's own benchmarks.