Project Sidewalk
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
A Feasibility Study of Using Google Street View and Computer Vision to Track the Evolution of Urban Accessibility
Extended Abstract Proceedings of ASSETS 2018
Talks
Project Sidewalk: Assessing Urban Accessibility using Crowdsourcing and Google Street View
May 25, 2017 | HCIL Symposium 2017
College Park, Maryland
Making with a Social Purpose
Apr 06, 2017 | Lecture Series at the Laboratory for Telecommunication Sciences
LTS Auditorium, College Park, MD
Project Sidewalk: Characterizing Physical World Accessibility At Scale
Feb 08, 2017 | WalkHackNight II
Arlington, Virginia
Interactive Computational Tools for Accessibility
Nov 07, 2016 | Diversity in Computing Summit 2016
College Park, Maryland
Tech+Design: Interaction Design for a Purpose
Nov 03, 2016 | Technica: Tech+X Talk Series
University of Maryland, College Park
Characterizing Physical World Accessibility at Scale
Nov 03, 2016 | GroupSight @ HCOMP2016
Austin, Texas