AI RESEARCH
Urban Risk-Aware Navigation via VQA-Based Event Maps for People with Low Vision
arXiv CS.CV
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ArXi:2605.11782v1 Announce Type: new Visual impairment affects hundreds of millions of people worldwide, severely limiting their ability to navigate urban environments safely and independently. While wearable assistive devices offer a promising platform for real-time hazard detection, existing approaches rely on task-specific vision pipelines that lack flexibility and generalizability.