RampNet
2025 – Present
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 8.9 years. They contributed to 6 projects, including Deep Learning for Sidewalk Assessment, LabelAId, and Project Sidewalk, as well as 20 publications. During their time in the lab, Mikey mentored 71 Makeability Lab students, including Kevin Wu, Aileen Zeng, and Paari Gopal.
Recent Projects
Project Sidewalk + Community Science
2021 – Present
Deep Learning for Sidewalk Assessment
2016 – Present
Project Sidewalk
2012 – Present
Recent Papers
Towards Human-AI Accessibility Mapping in India: VLM-Guided Annotations and POI-Centric Analysis in Chandigarh
AI4UP 2026
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
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
