Towards Street Camera-based Outdoor Navigation for Blind Pedestrians

Gaurav Jain, Basel Hindi, Mingyu Xie, Zihao Zhang, Koushik Srinivasula,Mahshid Ghasemi, Daniel Weiner, Xin Yi Therese Xu, Sophie Ana Paris, Chloe Tedjo, Josh Bassin, Michael Malcolm, Mehmet Turkcan,Javad Ghaderi,Zoran Kostic,Gil Zussman,Brian A. Smith

PROCEEDINGS OF THE 25TH INTERNATIONAL ACM SIGACCESS CONFERENCE ON COMPUTERS AND ACCESSIBILITY, ASSETS 2023(2023)

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摘要
Blind and low-vision (BLV) people use GPS-based systems for outdoor navigation assistance, which provide instructions to get from one place to another. However, such systems do not provide users with real-time, precise information about their location and surroundings which is crucial for safe navigation. In this work, we investigate whether street cameras can be used to address aspects of navigation that BLV people still find challenging with existing GPS-based assistive technologies. We conducted formative interviews with six BLV participants to identify specific challenges they face in outdoor navigation. We discovered three main challenges: anticipating environment layouts, avoiding obstacles while following directions, and crossing noisy street intersections. To address these challenges, we are currently developing a street camera-based navigation system that provides real-time auditory feedback to help BLV users avoid obstacles, know exactly when to cross the street, and understand the overall layout of the environment. We close by discussing our evaluation plan.
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关键词
Visual impairments,outdoor navigation,street camera,computer vision,testbed evaluation
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