BusStopCV: A Real-time AI Assistant for Labeling Bus Stop Accessibility Features in Streetscape Imagery

Author:

Kulkarni Minchu1ORCID,Li Chu1ORCID,Ahn Jaye Jungmin1ORCID,Ma Katrina Oi Yau2ORCID,Zhang Zhihan1ORCID,Saugstad Michael1ORCID,Wu Kevin1ORCID,Eisenberg Yochai3ORCID,Novack Valerie4ORCID,Chamberlain Brent5ORCID,Froehlich Jon E.1ORCID

Affiliation:

1. Paul G. Allen School of Computer Science & Engineering, University of Washington, United States

2. Human Centered Design and Engineering, University of Washington, United States

3. Disability and Human Development Department, University of Illinois at Chicago, USA

4. Landscape Architecture & Environmental Planning, Utah State University, United States

5. Landscape Architecture and Environmental Planning, Utah State University, United States

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference26 articles.

1. 2016. Stations & Stops. https://nacto.org/publication/transit-street-design-guide/stations-stops/ 2016. Stations & Stops. https://nacto.org/publication/transit-street-design-guide/stations-stops/

2. Training Computers to See the Built Environment Related to Physical Activity: Detection of Microscale Walkability Features Using Computer Vision

3. Guidelines for Human-AI Interaction

4. Apple. 2023. Maps - Apple. https://www.apple.com/maps/ Apple. 2023. Maps - Apple. https://www.apple.com/maps/

5. The MARTA Army. [n. d.]. Operation Bus Stop Census. https://www.martaarmy.org/stop-census The MARTA Army. [n. d.]. Operation Bus Stop Census. https://www.martaarmy.org/stop-census

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