Michael Saugstad

According to our database, Michael Saugstad authored at least 16 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards Human-AI Accessibility Mapping in India: VLM-Guided Annotations and POI-Centric Analysis in Chandigarh.

Varchita Lalwani, Utkarsh Agarwal, Michael Saugstad, Manish Kumar, Jon E. Froehlich, Anupam Sobti

CoRR, February, 2026

2025

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

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems.

Chu Li, Zhihan Zhang, Michael Saugstad, Esteban Safranchik, Minchu Kulkarni, Xiaoyu Huang, Shwetak N. Patel, Vikram Iyer, Tim Althoff, Jon E. Froehlich

CoRR, 2024

LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems.

Chu Li, Zhihan Zhang, Michael Saugstad, Esteban Safranchik, Chaitanyashareef Kulkarni, Xiaoyu Huang, Shwetak N. Patel, Vikram Iyer, Tim Althoff, Jon E. Froehlich

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

"I never realized sidewalks were a big deal": A Case Study of a Community-Driven Sidewalk Accessibility Assessment using Project Sidewalk.

Chu Li, Katrina Oi Yau Ma, Michael Saugstad, Kie Fujii, Molly Delaney, Yochai Eisenberg, Delphine Labbé, Judy L. Shanley, Devon Snyder, Florian P. P. Thomas, Jon E. Froehlich

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

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

Xinlei Liu, Kevin Wu, Minchu Kulkarni, Michael Saugstad, Peyton Anton Rapo, Jeremy Freiburger, Maryam Hosseini, Chu Li, Jon E. Froehlich

Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility, 2024

2023

BusStopCV: A Real-time AI Assistant for Labeling Bus Stop Accessibility Features in Streetscape Imagery.

Minchu Kulkarni, Chu Li, Jaye Jungmin Ahn, Katrina Oi Yau Ma, Zhihan Zhang, Michael Saugstad, Kevin Wu, Yochai Eisenberg, Valerie Novack, Brent C. Chamberlain, Jon E. Froehlich

Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, 2023

2022

A Pilot Study of Sidewalk Equity in Seattle Using Crowdsourced Sidewalk Assessment Data.

Chu Li, Lisa Orii, Mikey Saugstad, Stephen J. Mooney, Yochai Eisenberg, Delphine Labbé, Joy Hammel, Jon E. Froehlich

CoRR, 2022

Towards Mapping and Assessing Sidewalk Accessibility Across Sociocultural and Geographic Contexts.

Jon E. Froehlich, Michael Saugstad, Manaswi Saha, Matthew Johnson

CoRR, 2022

Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for People with Disabilities.

Maryam Hosseini, Mikey Saugstad, Fabio Miranda, Andres Sevtsuk, Cláudio T. Silva, Jon E. Froehlich

CoRR, 2022

The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytics, Policy, and Tools.

Jon E. Froehlich, Yochai Eisenberg, Maryam Hosseini, Fabio Miranda, Marc Adams, Anat Caspi, Holger Dieterich, Heather Ann Feldner, Aldo Gonzalez, Claudina De Gyves, Joy Hammel, Reuben Kirkham, Melanie Kneisel, Delphine Labbé, Steve J. Mooney, Victor Pineda, Cláudia Pinhão, Ana RodríGuez, Manaswi Saha, Michael Saugstad, Judy Shanley, Ather Sharif, Qing Shen, Cláudio T. Silva, Maarten Sukel, Eric K. Tokuda, Sebastian Felix Zappe, Anna Zivarts

Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility, 2022

Scaling Crowd+AI Sidewalk Accessibility Assessments: Initial Experiments Examining Label Quality and Cross-city Training on Performance.

Michael Duan, Shosuke Kiami, Logan Milandin, Johnson Kuang, Michael Saugstad, Maryam Hosseini, Jon E. Froehlich

Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility, 2022

2021

Experimental Crowd+AI Approaches to Track Accessibility Features in Sidewalk Intersections Over Time.

Ather Sharif, Paari Gopal, Michael Saugstad, Shiven Bhatt, Raymond Fok, Galen Weld, Kavi Asher Mankoff Dey, Jon E. Froehlich

Proceedings of the ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, 2021

Sidewalk Gallery: An Interactive, Filterable Image Gallery of Over 500, 000 Sidewalk Accessibility Problems.

Michael Duan, Aroosh Kumar, Michael Saugstad, Aileen Zeng, Ilia Savin, Jon E. Froehlich

Proceedings of the ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, 2021

2019

Project Sidewalk: A Web-based Crowdsourcing Tool for Collecting Sidewalk Accessibility Data At Scale.

Manaswi Saha, Michael Saugstad, Hanuma Teja Maddali, Aileen Zeng, Ryan Holland, Steven Bower, Aditya Dash, Sage Chen, Anthony Li, Kotaro Hara, Jon Froehlich

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2017

A Pilot Deployment of an Online Tool for Large-Scale Virtual Auditing of Urban Accessibility.

Manaswi Saha, Kotaro Hara, Soheil Behnezhad, Anthony Li, Michael Saugstad, Hanuma Teja Maddali, Sage Chen, Jon E. Froehlich

Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, 2017