Leveraging Maps and Computer Vision to Support Indoor Navigation for Blind Travelers

利用地图和计算机视觉支持盲人旅行者的室内导航

• 批准号: 9934891
• 负责人: JAMES M COUGHLAN
• 金额: $ 10.53万
• 依托单位: SMITH-KETTLEWELL EYE RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9934891
• 关键词: Adoption; American; Blindness; Calibration; Cellular Phone; Computer Vision Systems; Computer software; Cost Measures; Destinations; Documentation; Economics; Elevator; Employment; Environment; Goals; Grant; Health; Indoor environment; Infrastructure; Location; Maps; Medical center; Process; Research; Schools; System; Tactile; Time; Travel; Visual impairment; base; blind; design; digital; interest; meetings; open source; radio frequency; sensor; way finding; wireless fidelity

Leveraging Maps and Computer Vision to Support Indoor Navigation for Blind Travelers Summary The goal of this project is to develop a smartphone-based wayfinding app designed to help people with visual impairments navigate indoor environments more easily and independently. It harnesses computer vision and smartphone sensors to estimate and track the user's location in real time relative to a map of the indoor environment, providing audio-based turn-by-turn directions to guide the user to a desired destination. An additional option is to provide audio or tactile alerts to the presence of nearby points of interest in the environment, such as exits, elevators, restrooms and meeting rooms. The app estimates the user's location by recognizing standard informational signs present in the environment, tracking the user's trajectory and relating it to a digital map that has been annotated with information about signs and landmarks. Compared with other indoor wayfinding approaches, our computer vision and sensor-based approach has the advantage of requiring neither physical infrastructure to be installed and maintained (such as iBeacons) nor precise prior calibration (such as the spatially referenced radiofrequency signature acquisition process required for Wi-Fi-based systems), which are costly measures that are likely to impede widespread adoption. Our proposed system has the potential to greatly expand opportunities for safe, independent navigation of indoor spaces for people with visual impairments. Towards the end of the grant period, the wayfinding software (including documentation) will be released as free and open source software (FOSS).

利用地图和计算机视觉支持室内 盲人旅行者导航 概括 该项目的目标是开发一款基于智能手机的寻路应用程序，旨在帮助 有视觉障碍的人可以更轻松、独立地驾驭室内环境。它 利用计算机视觉和智能手机传感器来估计和跟踪用户的位置 实时相对于室内环境地图，提供基于音频的路线导航 引导用户到达所需目的地的方向。另一个选项是提供音频或 针对环境中附近兴趣点（例如出口）的存在提供触觉警报 电梯、卫生间和会议室。该应用程序通过识别来估计用户的位置 环境中存在的标准信息标志，跟踪用户的轨迹并 将其与带有有关标志和地标信息的注释的数字地图相关联。 与其他室内寻路方法相比，我们的计算机视觉和基于传感器的 方法的优点是既不需要安装物理基础设施， 保持（例如 iBeacons）或精确的先前校准（例如空间参考 基于 Wi-Fi 的系统所需的射频签名获取过程），其中 成本高昂的措施可能会阻碍广泛采用。我们提出的系统具有 极大地扩大室内空间安全、独立导航的机会 有视力障碍的人。在资助期结束时，寻路软件 （包括文档）将作为免费开源软件（FOSS）发布。