城市环境中的无障碍性仍是一个紧迫的公平性问题，尤其对于行动不便者而言。本研究提出了一种实用且可扩展的方法，通过 AI 辅助分析 Google Street View (GSV) 全景图，实现城市无障碍约束的自动检测与映射。ACAMAI 框架将目标检测技术集成到地理空间数据管道中，旨在推动更具包容性和数据驱动的城市规划。

Accessibility in urban environments remains a pressing equity issue, particularly for individuals with mobility impairments. This work presents a practical and scalable approach for automating the detection and mapping of city accessibility constraints through AI-assisted analysis of Google Street View (GSV) panoramas. By integrating object detection techniques within geospatial data pipelines, the ACAMAI framework aims to contribute to more inclusive and data-driven urban planning.