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 E. Froehlich

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 visionbased curb ramp detectors) in concert with human computation to improve the overall scalability of our approach.

[pdf] | [pdf (poster)]