John O'Meara

High School Student,

Issaquah High School

Website Github Twitter

John O'Meara is currently a High School Student in the Makeability Lab. John has been in the lab for 1.3 years. John contributed to 4 projects, including BikeButler, Deep Learning for Sidewalk Assessment, and Project Sidewalk, as well as 2 publications. John is mentored by Mikey Saugstad.

This bio was auto-generated.

Projects

Project Sidewalk

2012 – Present

RampNet

2025 – Present

Deep Learning for Sidewalk Assessment

2016 – Present

Papers

RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata

John O'Meara, Jared Hwang, Zeyu Wang, Mikey Saugstad, Jon E. Froehlich

ICCV CV4A11y Workshop 2025

keywords: computer vision, google street view, deep learning, curb ramp detection

PDF arXiv doi Cite Code RampNet

“Does the cafe entrance look accessible? Where is the door?” Towards Geospatial AI Agents for Visual Inquiries

Jon E. Froehlich, Jared Hwang, Zeyu Wang, John O'Meara, Xia Su, William Huang, Yang Zhang, Alexander J. Fiannaca, Philip Nelson, Shaun K. Kane

ICCV CV4A11y Workshop 2025

keywords: geo-visual agents, AI agents

PDF arXiv Cite

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

PDF | PPTX | RampNet

We design, build, and evaluate new interactive tools and techniques to address pressing societal challenges. Makeability refers both to how our technological innovations make new abilities possible for humans as well as our educational mission to help students gain new abilities as they learn and grow through research, invention, and human-centered design.

John O'Meara

Recent John News

Projects

Papers

Talks

Recent News

Links