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Indoor navigation is a challenging activity for persons with disabilities,particularly, for those with low vision and visual impairment. Researchers haveexplored numerous solutions to resolve these challenges; however, severalissues remain unsolved, particularly around providing dynamic and contextualinformation about potential obstacles in indoor environments. In this paper, wedeveloped Robot Patrol, an integrated system that employs a combination ofcrowdsourcing, computer vision, and robotic frameworks to provide contextualinformation to the visually impaired to empower them to navigate indoor spacessafely. In particular, the system is designed to provide information to thevisually impaired about 1) potential obstacles on the route to their indoordestination, 2) information about indoor events on their route which they maywish to avoid or attend, and 3) any other contextual information that mightsupport them to navigate to their indoor destinations safely and effectively.Findings from the Wizard of Oz experiment of our demo system provide insightsinto the benefits and limitations of the system. We provide a concisediscussion on the implications of our findings.

Robot Patrol: Using Crowdsourcing and Robotic Systems to Provide Indoor Navigation Guidance to The Visually Impaired