Overview

The overarching goal of this workshop is to gather researchers, students, and advocates who work at the intersection of accessibility, computer vision, and autonomous systems. We plan to use the workshop to identify challenges and pursue solutions for the current lack of shared and principled development tools for data-driven vision-based accessibility systems. For instance, there is a general lack of vision-based benchmarks and methods relevant to accessibility (e.g., people with disabilities and mobility aids are currently mostly absent from large-scale datasets in pedestrian detection). Our workshop will provide a unique opportunity for fostering a mutual discussion between accessibility, computer vision, and robotics researchers and practitioners.

Invited Speakers

Chandrika Jayant
Chandrika Jayant
Volkswagen Group of America, Principal Designer and Manager, Inclusive Mobility Team
speaker2
Clem Wright
Waymo, Product Manager for Accessibility
Jon E. Froehlich
Jon E. Froehlich
University of Washington, Researcher in Human-Computer Interaction and Accessibility
speaker4
James Coughlan
Smith-Kettlewell Eye Research Institute, Researcher in Computer Vision Technologies for Blind and Visually Impaired
speaker5
Adrien Gaidon
Toyota Research Institute, Head of Machine Learning Research
speaker6
Eli Peli
Harvard, Professor of Ophthalmology Harvard Medical School, Researcher in Disability, Rehabilitation, and Assistive Technologies for Low Vision
speaker7
Laura Giarré
University of Modena and Reggio Emilia, NTNU

Schedule

Full program will be coming soon with 30-min keynotes, panel discussion, challenge results and winners, and poster session.

Organizers

Eshed Ohn-Bar
Eshed Ohn-Bar
Boston University
Danna Gurari
Danna Gurari
University of Colorado Boulder
Kris Kitani
Kris Kitani
Carnegie Mellon University
Kate Saenko
Kate Saenko
Boston University
Andreas Geiger
Andreas Geiger
University of Tübingen and the MPI for Intelligent Systems
Chieko Asakawa
Chieko Asakawa
Carnegie Mellon University and IBM
Jon E. Froehlich
Jon E. Froehlich
University of Washington
Chandrika Jayant
Chandrika Jayant
Volkswagen Group of America

Challenge Organization

Jimuyang Zhang
Jimuyang Zhang
Boston University
Zhongkai Shangguan
Zhongkai Shangguan
Boston University
Minglan Zheng
Minglan Zheng
Boston University

Challenge

The challenge involves a synthetic instance segmentation benchmark incorporating use-cases of autonomous systems interacting with pedestrians with disabilities (see Zhang et al., X-World: Accessibility, Vision, and Autonomy Meet, ICCV 2021 bit.ly/2X8sYoX). The benchmark contains challenging accessibility-related person and object categories, such as `cane' and `wheelchair.' We aim to use the challenge to uncover research opportunities and spark the interest of computer vision and AI researchers working on more robust visual reasoning models for accessibility.
fig2

An example from the instance segmentation challenge for perceiving people with mobility aids.


The team with the top performing submission will be invited to give short talks during the workshop and will receive a financial award of $500 and an OAK—D camera.

To participate in the challenge and download the data please go to the challenge website.

Call for Papers

We encourage submission of relevant research (including work in progress, novel perspectives, formative studies, benchmarks, methods) as extended abstracts for the poster session and workshop discussion (up to 4 pages in CVPR format). Topics of interests by this workshop include, but are not limited to:
  1. AI for Accessibility
  2. Accessibility-Centered Computer Vision Tasks and Datasets
  3. Data-Driven Accessibility Tools, Metrics and Evaluation Frameworks
  4. Practical Challenges in Ability-Based Assistive Technologies
  5. Accessibility in Robotics and Autonomous Vehicles
  6. Long-Tail and Low-Shot Recognition of Accessibility-Based Tasks
  7. Accessible Homes, Hospitals, Cities, Infrastructure, Transportation
  8. Crowdsourcing and Annotation Tools for Vision and Accessibility
  9. Empirical Real-World Studies in Inclusive System Design
  10. Assistive Human-Robot Interaction
  11. Remote Accessibility Systems
  12. Multi-Modal (Audio, Visual, Inertial, Haptic) Learning and Interaction
  13. Accessible Mobile and Information Technologies
  14. Virtual, Augmented, and Mixed Reality for Accessibility
  15. Novel Designs for Robotic, Wearable and Smartphone-Based Assistance
  16. Intelligent Assistive Embodied and Navigational Agents
  17. Socially Assistive Mobile Applications
  18. Human-in-the-Loop Machine Learning Techniques
  19. Accessible Tutoring and Education
  20. Personalization for Diverse Physical, Motor, and Cognitive Abilities
  21. Embedded Hardware-Optimized Assistive Systems
  22. Intelligent Robotic Wheelchairs
  23. Medical and Social and Cultural Models of Disability
  24. New Frameworks for Taxonomies and Terminology

Important workshop dates