LabelAId
2023 – 2024
Mikey Saugstad
Research Scientist, Computer Science
University of Washington
Mikey Saugstad is currently a Research Scientist in the Makeability Lab. Mikey has been in the lab for 8.8 years. Mikey contributed to 6 projects, including Deep Learning for Sidewalk Assessment, LabelAId, and Project Sidewalk, as well as 19 publications. During their time in the lab, Mikey mentored 71 Makeability Lab students, including Jiamae Wang, Lindsey Ehrlich, and Matthew Johnson.
Recent Projects
Project Sidewalk + Community Science
2021 – Present
Project Sidewalk
2012 – Present
Deep Learning for Sidewalk Assessment
2016 – Present
Recent Papers
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata
ICCV CV4A11y Workshop 2025
Validating Pedestrian Infrastructure Data: How Well Do Street-View Imagery Audits Compare to Government Field Data?
Urban Sci 2025
Towards Fine-Grained Sidewalk Accessibility Assessment with Deep Learning: Initial Benchmarks and an Open Dataset
ASSETS 2024
PDF doi Cite Deep Learning for Sidewalk Assessment Project Sidewalk
Videos
Talks
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata
Oct 20, 2025 | ICCV CV4A11y Workshop
Honolulu, Hawaiʻi
John O'Meara, Jared Hwang, Zeyu Wang, Mikey Saugstad, Jon E. Froehlich
