Peyton Rapo

Undergrad, Allen School of Computer Science and Engineering

University of Washington

Github

Peyton Rapo was a Undergrad in the Makeability Lab for 7.9 months (Nov 2023 to Jul 2024). Peyton contributed to a project called Deep Learning for Sidewalk Assessment as well as 1 publication.

This bio was auto-generated.

Projects

Deep Learning for Sidewalk Assessment

2016 – Present

Papers

Towards Fine-Grained Sidewalk Accessibility Assessment with Deep Learning: Initial Benchmarks and an Open Dataset

Alex Liu, Kevin Wu, Minchu Kulkarni, Mikey Saugstad, Peyton Rapo, Jeremy Freiburger, Maryam Hosseini, Chu Li, Jon E. Froehlich

Extended Abstract Proceedings of ASSETS 2024 | Acceptance Rate: 66.7% (58 / 87)

keywords: computer vision, sidewalk assessment, sidewalk accessibility, vision transformers, obstacle detection

PDF | doi | Citation | Deep Learning for Sidewalk Assessment • Project Sidewalk

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.

Peyton Rapo

Projects

Papers

Recent News

Links