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An Initial Study of Automatic Curb Ramp Detection with Crowdsourced Verification Using Google Street View Images

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Abstract:

In our previous research, we examined whether minimally trained crowd workers could find, categorize, and assess sidewalk accessibility problems using Google Street View (GSV) images. This poster paper presents a first step towards combining automated methods (e.g., machine vision-based curb ramp detectors) in concert with human computation to improve the overall scalability of our approach.

Published Date: 2013-11-10

Registration: ISBN 978-1-57735-607-3

Authors

Kotaro Hara,Jin Sun,Jonah Chazan,David Jacobs,Jon Froehlich

University of Maryland, College Park,University of Maryland, College Park,Montgomery Blair High School,University of Maryland, College Park,University of Maryland, College Park


DOI:

10.1609/hcomp.v1i1.13109