EG-ARSA: An Expert-Grounded Open Model for Visual Road Safety Auditing in Low-Resource Settings
Presents novel AI framework for transferring institutional expertise to compact models with real-world safety applications
AI Summary
Researchers introduce EG-ARSA, an expert-grounded vision-language model for road safety auditing that outperforms Gemini-2.5-Flash in low-resource settings.
Excerpt
Road traffic injuries remain a major challenge in low- and middle-income countries, where proactive road safety auditing is limited by incomplete crash records, shortages of qualified auditors, and the high cost of large-scale field inspections. To address this problem, we propose Expert-Grounded Distillation (EGD), a novel artificial intelligence framework that transfers institutional road safety expertise into a compact vision-language model for scalable visual road safety auditing. The key in