用AI识别城市无障碍设施，帮行动不便者精准导航
OmniAcc: Personalized Accessibility Assistant Using Generative AI
- 结合大模型与地图数据，自动识别坡道、人行横道等无障碍设施
- 跨道检测准确率达97.5%，支持个性化路线规划与实时语音导航
- 适合残障人士、城市规划者使用，推动更包容的智慧城市建设
行动障碍者在城市环境中常因缺乏无障碍信息与工具而面临重大挑战。本文提出OmniAcc，一个基于GPT-4、卫星影像与OpenStreetMap数据的AI交互式导航系统，可识别、分类并绘制建筑环境中的轮椅通行设施，如坡道和人行横道。OmniAcc提供个性化路径规划、实时无手操作导航及关于物理可达性的即时问答。通过零样本学习与定制化提示，系统确保对无障碍特征的精确检测，并支持通过结构化流程验证。本文介绍OmniAcc并探讨其在辅助城市规划与移动辅助使用者方面的潜力，案例研究展示了人行横道检测准确率达97.5%。结果表明，AI在改善导航体验、促进更包容的城市空间方面具有变革性潜力。
原文摘要 · Abstract (English)
Individuals with ambulatory disabilities often encounter significant barriers when navigating urban environments due to the lack of accessible information and tools. This paper presents OmniAcc, an AI-powered interactive navigation system that utilizes GPT-4, satellite imagery, and OpenStreetMap data to identify, classify, and map wheelchair-accessible features such as ramps and crosswalks in the built environment. OmniAcc offers personalized route planning, real-time hands-free navigation, and instant query responses regarding physical accessibility. By using zero-shot learning and customized prompts, the system ensures precise detection of accessibility features, while supporting validation through structured workflows. This paper introduces OmniAcc and explores its potential to assist urban planners and mobility-aid users, demonstrated through a case study on crosswalk detection. With a crosswalk detection accuracy of 97.5%, OmniAcc highlights the transformative potential of AI in improving navigation and fostering more inclusive urban spaces.
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