Project Sidewalk is a web-based platform that enables crowdsourcing accessibility of sidewalks at city-scale by virtually walking through city streets using Google Street View. The tool has been used in 40 cities across the world, including the US, Mexico, Chile, and Europe. In this paper, we describe adaptation efforts to enable deployment in Chandigarh, India, including modifying annotation types, provided examples, and integrating VLM-based mission guidance, which adapts instructions based on a street scene and metadata analysis. Our evaluation with 3 annotators indicates the utility of AI-mission guidance with an average score of 4.66. Using this adapted Project Sidewalk tool, we conduct a Points of Interest (POI)-centric accessibility analysis for three sectors in Chandigarh with very different land uses, residential, commercial and institutional covering about 40 km of sidewalks. Across 40 km of roads audited in three sectors and around 230 POIs, we identified 1,644 of 2,913 locations where infrastructure improvements could enhance accessibility.

翻译：Project Sidewalk是一个基于网络的平台，通过使用谷歌街景虚拟穿行城市街道，实现城市尺度人行道无障碍性的众包标注。该工具已在全球40个城市得到应用，包括美国、墨西哥、智利和欧洲国家。本文描述了为在印度昌迪加尔部署该平台所做的适应性改进工作，包括修改标注类型、提供示例以及集成基于视觉语言模型的任务引导系统——该系统能够根据街景图像和元数据分析动态调整标注指令。通过3名标注员的评估，AI任务引导系统获得了平均4.66分的实用性评分。利用改进后的Project Sidewalk工具，我们对昌迪加尔三个具有显著不同土地利用特征的区域（居住区、商业区和机构区）进行了以兴趣点为中心的无障碍性分析，覆盖约40公里人行道。在对三个区域40公里道路及约230个兴趣点的审计中，我们于2913个定位点中识别出1644处可通过基础设施改造提升无障碍性的位置。