Project Sidewalk
2012 – Present
Mikey Saugstad
Research Software Engineer, Computer Science
University of Washington
Mikey Saugstad is currently a Research Software Engineer in the Makeability Lab. Mikey has been in the lab for 9.4 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 Eddie Ni, Lukas Strobel, and Lindsey Ehrlich.
Projects (6/6)
RampNet
2025 – Present
Deep Learning for Sidewalk Assessment
2016 – Present
LabelAId
2023 – 2024
Project Sidewalk + Community Science
2021 – Present
Sidewalk Gallery
2019 – 2021
Papers (6/20)
Towards Human-AI Accessibility Mapping in India: VLM-Guided Annotations and POI-Centric Analysis in Chandigarh
Workshop Proceedings of AI4UP 2026
Towards Fine-Grained Sidewalk Accessibility Assessment with Deep Learning: Initial Benchmarks and an Open Dataset
Poster Proceedings of ASSETS 2024 | Acceptance Rate: 66.7% (58 / 87)
PDF doi Cite Project Sidewalk Deep Learning for Sidewalk Assessment
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems
Proceedings of CHI 2024 | Acceptance Rate: 26.3% (1060 / 4028)
“I never realized sidewalks were a big deal”: A Case Study of a Community-Driven Sidewalk Audit Using Project Sidewalk
Proceedings of CHI 2024 | Acceptance Rate: 26.3% (1060 / 4028)
PDF doi Cite Project Sidewalk Project Sidewalk + Community Science
Videos (3/3)
Talks (2/2)
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
