AAAI Publications, First AAAI Conference on Human Computation and Crowdsourcing

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An Initial Study of Automatic Curb Ramp Detection with Crowdsourced Verification Using Google Street View Images
Kotaro Hara, Jin Sun, Jonah Chazan, David Jacobs, Jon E. Froehlich

Last modified: 2013-11-03


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.


Crowdsourcing accessibility; accessible urban navigation; Google Street View; Amazon Mechanical Turk

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