AI RESEARCH
GuideDog: A Real-World Egocentric Multimodal Dataset for Blind and Low-Vision Accessibility-Aware Guidance
arXiv CS.CV
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ArXi:2503.12844v2 Announce Type: replace For people affected by blindness and low vision (BLV), safe and independent navigation remains a major challenge, impacting over 2.2B individuals worldwide. Although multimodal large language models (MLLMs) offer new opportunities for assistive navigation, progress has been limited by the scarcity of accessibility-aware datasets, because creating them requires labor-intensive expert annotation. To this end, we