Coughlan Lab
The goal of our laboratory is to develop and test assistive technology for blind and visually impaired persons that is enabled by computer vision and other sensor technologies.
Tabs
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. (2018). Indoor Localization using Computer Vision and Visual-Inertial Odometry. In International Conference on Computers Helping People with Special Needs (ICCHP '18). Date Published 07/2018, Linz, Austria.
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. (2017). JustPoint: Identifying Colors with a Natural User Interface. In 19th Int’l ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2017). Date Published 10/2017, Baltimore, MD: ACM.
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. (2017). Evaluating Author and User Experience for an Audio-Haptic System for Annotation of Physical Models. In 19th Int’l ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2017). Date Published 10/2017, Baltimore, MD: ACM.
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. (2017). AR4VI: AR as an Accessibility Tool for People with Visual Impairments. In AR for Good, part of ISMAR 2017. Date Published 10/2017, Nantes, France: IEEE.
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. (2017). Mind your crossings: Mining GIS imagery for crosswalk localization. ACM Transactions on Accessible Computing (TACCESS), 9(4). doi:10.1145/3046790
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. (2016). Towards a Sign-Based Indoor Navigation System for People with Visual Impairments. In 18th International ACM SIGACCESS Conference on Computers and Accessibility. Reno, NV: ACM.
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. (2015). Zebra Crossing Spotter: Automatic Population of Spatial Databases for Increased Safety of Blind Travelers. In ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2015). doi:http://dx.doi.org/10.1145/2700648.2811392
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. (2015). The Tactile Graphics Helper: Providing Audio Clarification for Tactile Graphics Using Machine Vision. In ASSETS. Date Published 10/2015.
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. (2015). Appliance Displays: Accessibility Challenges and Proposed Solutions. In 17th International ACM SIGACCESS Conference on Computers and Accessibility. Date Published 10/2015, Lisbon, Portugal: ACM. doi:http://dx.doi.org/10.1145/2700648.2811392
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Rehabilitation Engineering Research Center
View CenterThe Center's research goal is to develop and apply new scientific knowledge and practical, cost-effective devices to understand and address better the real-world problems of blind, visually impaire
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Video Description Research and Development Center
View CenterThe Smith-Kettlewell Video Description Research and Development Center (VDRDC) investigates innovative technologies and techniques for making online video more accessible to blind and visually-impa
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A Computer Vision-Based Indoor Wayfinding Tool
Read MoreWe are creating a smartphone-based indoor navigation app to estimate the user's location in an indoor environment and guide him/her to a desired destination.
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Computer Vision Journal Club
Read MoreThe Computer Vision Journal Club meets periodically to discuss papers on topics in computer vision, machine learning and other topics of interest such as assistive technologies for persons who are
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Crosswatch
Read MoreCrosswatch is a smartphone-based system developed for providing real-time guidance to blind and visually impaired travelers at traffic intersections.
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Display Reader
Read MoreThe goal of the Display Reader project is to develop a computer vision system that runs on smartphones and tablets to enable blind and visually impaired persons to read appliance displays.
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Regressions in Braille Reading
Read MoreThis project explores regressions (movements to re-read text) in braille reading.
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Sign Finder
Read MoreThis project seeks to develop a computer vision-based system that allows a visually impaired traveler to find and read informational signs, such as signs labeling office doors, streets, restrooms a
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Tactile Graphics Helper (TGH)
Read MoreTactile graphics use raised lines, textures, and elevations to provide individuals with visual impairments access to graphical materials through touch.
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Tutorials and Reference
Read MoreThese are tutorials and reference materials I have written on various topics in probability and geometry over the years.
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Team Leader
Team Members:
Collaborators:
Alumni:
Contact:
coughlan@ski.org 2318 Fillmore St. San Francisco CA 94115 (415) 345-2146
Funding:
A cell Phone-Based Street Intersection Analyzer for Visually Impaired Pedestrians
Vision without Sight: Exploring the Environment with a Portable Camera
Providing Access to Appliance Displays for Visually Impaired Users
A Computer Vision-Based Sign Assistant for the BrainPort Mobile System
Enabling Audio-Haptic Interaction with Physical Objects for the Visually Impaired