Towards Human-AI Accessibility Mapping in India: VLM-Guided Annotations and POI-Centric Analysis in Chandigarh
Workshop Proceedings of AI4UP 2026
This project describes a two-pronged vision: first, to develop scalable data collection methods for acquiring sidewalk accessibility information using a combination of crowdsourcing, computer vision, and online map imagery, and second, to use this new data to design, develop, and evaluate a novel set of navigation and map tools for accessibility. Our overarching goal is to transform the ways in which accessibility information is collected and visualized for every sidewalk, street, and building façade in America.
Workshop Proceedings of AI4UP 2026
Proceedings of CHI 2025 | Acceptance Rate: 24.9% (1249 / 5020)
PDF arXiv doi Cite Code Project Sidewalk Accessibility for Whom?
Poster Proceedings of ASSETS 2024 | Acceptance Rate: 66.7% (58 / 87)
PDF doi Cite Deep Learning for Sidewalk Assessment Project Sidewalk
Proceedings of CHI 2024 | Acceptance Rate: 26.3% (1060 / 4028)
PDF doi Cite Project Sidewalk + Community Science Project Sidewalk
Proceedings of CHI 2024 | Acceptance Rate: 26.3% (1060 / 4028)
Demo Proceedings of ASCIP 2023 Annual Meeting 2023
Poster Proceedings of CMSC 2023 Annual Meeting 2023
Proceedings of ASSETS'22 2022 | Acceptance Rate: 58.9% (43 / 73)
PDF doi Cite Project Sidewalk Deep Learning for Sidewalk Assessment
Workshop Proceedings of UrbanAccess 2022
Extended Abstract Proceedings of TRANSED 2022
Workshop Proceedings of CVPR2022 Workshop: Accessibility, Vision, and Autonomy (AVA) 2022
PDF arXiv doi Cite Project Sidewalk Deep Learning for Sidewalk Assessment
Proceedings of CHI 2022 | Acceptance Rate: 24.7% (637 / 2579)
PDF doi Cite Talk Project Sidewalk AccessVis Accessibility-Infused Maps Multi-Stakeholder Interviews to Examine Urban Accessibility
Demo Proceedings of ASSETS 2021 | Acceptance Rate: 61.8% (55 / 89) | Best Artifact Runner-up Award
Demo Proceedings of ASSETS 2021 | Acceptance Rate: 61.8% (55 / 89)
Workshop Proceedings of Civic Tech 2020
Workshop Proceedings of Data4Good 2020
Proceedings of ASSETS 2019 | Acceptance Rate: 25.9% (41 / 158) | Best Paper Award
PDF doi Cite Code Project Sidewalk Deep Learning for Sidewalk Assessment
Proceedings of CHI 2019 | Acceptance Rate: 23.8% (705 / 2960) | Best Paper Award
Interactions 2019
Extended Abstract Proceedings of CHI 2018
Poster Proceedings of ASSETS 2017
UMD CS PhD Dissertation 2016
UMD CS MS Thesis 2016
Proceedings of CHI 2016 | Acceptance Rate: 25.0% (600 / 2400)
PDF doi Cite Accessibility-Infused Maps Project Sidewalk Multi-Stakeholder Interviews to Examine Urban Accessibility
Doctoral Consortium Proceedings of UIST 2014
Poster Proceedings of HCOMP 2013
Workshop Proceedings of HCIC2013 Workshop 2013
Poster Proceedings of ASSETS 2012
Feb 29, 2024 | NSF Smart and Connected Communities Panel on “Pathways to Transitioning Project Outcomes"
Nashville, Tennessee
Dec 14, 2022 | ITS (Intelligent Transportation Systems)
Tacoma, Washington
Dec 13, 2021 | Spatial Data Science Symposium 2021
Virtual
May 28, 2021 | PhD Generals Exam
Virtual
Jan 22, 2020 | Google Tech Talk
Seattle, WA
Sep 30, 2019 | WSRO 2019 Keynote
Spokane, WA
May 07, 2019 | CHI'19
Glasgow, UK
Oct 09, 2018 | Change Seminar
University of Washington, Seattle
Nov 15, 2017 | UW CSE Affiliates 2017
Seattle, WA
May 25, 2017 | HCIL Symposium 2017
College Park, Maryland
Apr 06, 2017 | Lecture Series at the Laboratory for Telecommunication Sciences
LTS Auditorium, College Park, MD
Feb 08, 2017 | WalkHackNight II
Arlington, Virginia
Nov 07, 2016 | Diversity in Computing Summit 2016
College Park, Maryland
Meethu Malu, Uran Oh, Ladan Najafizadeh, Manaswi Saha, Lee Stearns
Nov 03, 2016 | Technica: Tech+X Talk Series
University of Maryland, College Park
Liang He, Majeed Kazemitabaar, Manaswi Saha, Soheil Behnezhad
Nov 03, 2016 | GroupSight @ HCOMP2016
Austin, Texas