Galen Weld

Galen Weld

PhD Student, CS
University of Washington

Galen is a PhD student who loves applying computer science to real world problems. He works on ICT4D systems and computing for accessibility.

Projects

Project Sidewalk

2012 – Present

Publications

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

Talks

Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery

Oct. 29, 2019 | ASSETS'19

Pittsburgh, PA

PDF | PPTX | Deep Learning for Sidewalk Assessment

We design, build, and evaluate interactive tools and techniques to address pressing societal challenges in accessibility, sustainability, education, and beyond.