Project Description
This project describes a two-pronged vision: first, to develop scalable data collection methods for acquiring sidewalk accessibility information using a combination of crowdsourcing, computer vision, and online map imagery, and second, to use this new data to design, develop, and evaluate a novel set of navigation and map tools for accessibility. Our overarching goal is to transform the ways in which accessibility information is collected and visualized for every sidewalk, street, and building façade in America.
Publications
Interactively Modeling and Visualizing Neighborhood Accessibility at Scale: An Initial Study of Washington DC
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PDF | doi | Citation | Project Sidewalk
A Feasibility Study of Using Google Street View and Computer Vision to Track the Evolution of Urban Accessibility
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A Pilot Deployment of an Online Tool for Large-Scale Virtual Auditing of Urban Accessibility
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PDF | doi | Citation | Project Sidewalk
The Design of Assistive Location-based Technologies for People with Ambulatory Disabilities: A Formative Study
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Characterizing and Visualizing Physical World Accessibility at Scale Using Crowdsourcing, Computer Vision, and Machine Learning
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Improving Public Transit Accessibility for Blind Riders by Crowdsourcing Bus Stop Landmark Locations with Google Street View: An Extended Analysis
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Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning
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An Initial Study of Automatic Curb Ramp Detection with Crowdsourced Verification using Google Street View Images
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Improving Public Transit Accessibility for Blind Riders by Crowdsourcing Bus Stop Landmark Locations with Google Street View
None | Best Paper Award
Exploring Early Solutions for Automatically Identifying Inaccessible Sidewalks in the Physical World using Google Street View
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Combining Crowdsourcing and Google Street View to Identify Street-level Accessibility Problems
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A feasibility study of crowdsourcing and google street view to determine sidewalk accessibility
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Talks
May 25, 2017 | HCIL Symposium 2017
College Park, Maryland
April 6, 2017 | Lecture Series at the Laboratory for Telecommunication Sciences
LTS Auditorium, College Park, MD
PDF | Video | HandSight | MakerWear | Project Sidewalk | GlassEar | Scalable Thermography | BodyVis
Feb. 8, 2017 | WalkHackNight II
Arlington, Virginia
Nov. 7, 2016 | Diversity in Computing Summit 2016
College Park, Maryland
Nov. 3, 2016 | Technica: Tech+X Talk Series
University of Maryland, College Park
Nov. 3, 2016 | GroupSight @ HCOMP2016
Austin, Texas