To help improve the safety and accessibility of indoor spaces, researchers and health professionals have created assessment instruments that enable homeowners and trained experts to audit and improve homes. With advances in computer vision, augmented reality (AR), and mobile sensors, new approaches are now possible. We introduce RASSAR (Room Accessibility and Safety Scanning in Augmented Reality), a new proof-of-concept prototype for semi-automatically identifying, categorizing, and localizing indoor accessibility and safety issues using LiDAR + camera data, machine learning, and AR. We present an overview of the current RASSAR prototype and a preliminary evaluation in a single home.

翻译：为了帮助改善室内空间的安全和无障碍环境,研究人员和保健专业人员制定了评估工具,使房主和受过培训的专家能够审计和改善家庭状况,随着计算机视野的进步、现实的增强和移动传感器的发展,现在有可能采取新的办法,我们引进了RASSAR(增强现实中的无障碍和安全扫描室),这是使用LIDAR+相机数据、机器学习和AR进行半自动识别、分类和本地化室内无障碍和安全问题的新型概念验证原型。我们概述了目前的RASSAR原型,并在一个单一的家庭进行了初步评估。