An initial study of automatic curb ramp detection with crowdsourced verification using Google street view images

An initial study of automatic curb ramp detection with crowdsourced verification using Google street view images

In our previous research, we examined whether minimallytrained crowd workers could find, categorize, and assesssidewalk accessibility problems using Google Street View(GSV) images. This poster paper presents a first step towardscombining automated methods (e.g., machine visionbasedcurb ramp detector...

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Main Authors: Kotaro HARA, SUN, Jin, CHAZAN, Jonah, JACOBS, David, FROEHLICH, Jin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
Subjects:
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4010
https://ink.library.smu.edu.sg/context/sis_research/article/5012/viewcontent/7507_32474_1_PB.pdf
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-50122018-05-28T07:34:32Z An initial study of automatic curb ramp detection with crowdsourced verification using Google street view images Kotaro HARA, SUN, Jin CHAZAN, Jonah JACOBS, David FROEHLICH, Jin In our previous research, we examined whether minimallytrained crowd workers could find, categorize, and assesssidewalk accessibility problems using Google Street View(GSV) images. This poster paper presents a first step towardscombining automated methods (e.g., machine visionbasedcurb ramp detectors) in concert with human computationto improve the overall scalability of our approach. 2013-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4010 https://ink.library.smu.edu.sg/context/sis_research/article/5012/viewcontent/7507_32474_1_PB.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Software Engineering
spellingShingle Software Engineering
Kotaro HARA,
SUN, Jin
CHAZAN, Jonah
JACOBS, David
FROEHLICH, Jin
An initial study of automatic curb ramp detection with crowdsourced verification using Google street view images
description In our previous research, we examined whether minimallytrained crowd workers could find, categorize, and assesssidewalk accessibility problems using Google Street View(GSV) images. This poster paper presents a first step towardscombining automated methods (e.g., machine visionbasedcurb ramp detectors) in concert with human computationto improve the overall scalability of our approach.
format text
author Kotaro HARA,
SUN, Jin
CHAZAN, Jonah
JACOBS, David
FROEHLICH, Jin
author_facet Kotaro HARA,
SUN, Jin
CHAZAN, Jonah
JACOBS, David
FROEHLICH, Jin
author_sort Kotaro HARA,
title An initial study of automatic curb ramp detection with crowdsourced verification using Google street view images
title_short An initial study of automatic curb ramp detection with crowdsourced verification using Google street view images
title_full An initial study of automatic curb ramp detection with crowdsourced verification using Google street view images
title_fullStr An initial study of automatic curb ramp detection with crowdsourced verification using Google street view images
title_full_unstemmed An initial study of automatic curb ramp detection with crowdsourced verification using Google street view images
title_sort initial study of automatic curb ramp detection with crowdsourced verification using google street view images
publisher Institutional Knowledge at Singapore Management University
publishDate 2013
url https://ink.library.smu.edu.sg/sis_research/4010
https://ink.library.smu.edu.sg/context/sis_research/article/5012/viewcontent/7507_32474_1_PB.pdf
_version_ 1770574130381324288

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