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Lecture Notes in Computer Science
Indoor wayfinding is a major challenge for people with visual impairments, who are often unable to see visual cues such as informational signs, land-marks and structural features that people with normal vision rely on for wayfinding. We describe a novel indoor localization approach to facilitate wayfinding that uses a smartphone to combine computer vision and a dead reckoning technique known as visual-inertial odometry (VIO). The approach uses sign recognition to estimate the user's location ondoi:10.1007/978-3-319-94274-2_13 pmid:31058269 pmcid:PMC6497170 fatcat:iy7vfktg4bdtfahl6vu3had3nm