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

Author

Kotaro HARA, Singapore Management UniversityFollow
Jin SUN
Jonah CHAZAN
David JACOBS
Jin FROEHLICH

Publication Type

Conference Poster

Version

submittedVersion

Publication Date

1-2013

Abstract

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.

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Poster Proceedings of HCOMP 2013

Citation

Kotaro HARA; SUN, Jin; CHAZAN, Jonah; JACOBS, David; and FROEHLICH, Jin. An initial study of automatic curb ramp detection with crowdsourced verification using Google street view images. (2013). Poster Proceedings of HCOMP 2013.
Available at: https://ink.library.smu.edu.sg/sis_research/4010

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.