Sidewalk Gallery: An Interactive, Filterable Image Gallery of Over 500,000 Sidewalk Accessibility Problems

Michael Duan, Aroosh Kumar, Mikey Saugstad, Aileen Zeng, Ilia Savin, Jon E. Froehlich

Extended Abstract Proceedings of ASSETS 2021 | Acceptance Rate: 61.8% (55 / 89) | Best Artifact Runner-up Award

keywords: crowdsourcing accessibility, sidewalks, human mobility, sidewalk problems, image gallery, open data

PDF | doi | Citation | Project Sidewalk • Sidewalk Gallery

Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery

Galen Weld, Esther Jang, Anthony Li, Aileen Zeng, Kurtis Heimerl, Jon E. Froehlich

Proceedings of ASSETS 2019 | Acceptance Rate: 25.9% (41 / 158) | Best Paper Award

keywords: mobility impairments, computer vision, urban informatics, deep learning, sidewalks, neural networks

PDF | doi | Citation | Code | Project Sidewalk • Deep Learning for Sidewalk Assessment

Exploring Sound Awareness in the Home for People who are Deaf or Hard of Hearing

Dhruv Jain, Angela Carey Lin, Marcus Amalachandran, Aileen Zeng, Jon E. Froehlich

Proceedings of CHI 2019 | Acceptance Rate: 23.7% (701 / 2960)

keywords: sound visualization, iot, sound awareness, deaf and hard of hearing, smarthome

PDF | doi | Citation | HomeSound

Project Sidewalk: A Web-based Crowdsourcing Tool for Collecting Sidewalk Accessibility Data at Scale

Manaswi Saha, Mikey Saugstad, Teja Maddali, Aileen Zeng, Ryan Holland, Steven Bower, Aditya Dash, Sage Chen, Anthony Li, Kotaro Hara, Jon E. Froehlich

Proceedings of CHI 2019 | Acceptance Rate: 23.8% (705 / 2960) | Best Paper Award

keywords: mobility impairments, gis, wheelchair, crowdsourcing, urban accessibility

PDF | doi | Citation | Code | Project Sidewalk