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

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


Published:

2013-11-10

Proceedings:

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 1

Volume

Issue:

Vol. 1 (2013): First AAAI Conference on Human Computation and Crowdsourcing

Track:

Works in Progress

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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.

DOI:

10.1609/hcomp.v1i1.13109


HCOMP

Vol. 1 (2013): First AAAI Conference on Human Computation and Crowdsourcing


ISBN 978-1-57735-607-3