@article {19703,
	title = {An Initial Study of Automatic Curb Ramp Detection with Crowdsourced Verification Using Google Street View Images},
	journal = {First AAAI Conference on Human Computation and Crowdsourcing},
	year = {2013},
	month = {2013/00/11},
	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.},
	url = {http://www.aaai.org/ocs/index.php/HCOMP/HCOMP13/paper/view/7507},
	author = {Hara, Kotaro and Sun, Jin and Chazan, Jonah and Jacobs, David and Jon Froehlich}
}
