Literature DB >> 24353745

Crosswatch: a System for Providing Guidance to Visually Impaired Travelers at Traffic Intersections.

James M Coughlan1, Huiying Shen1.   

Abstract

PURPOSE: This paper describes recent progress on the "Crosswatch" project, a smartphone-based system developed for providing guidance to blind and visually impaired travelers at traffic intersections. Building on past work on Crosswatch functionality to help the user achieve proper alignment with the crosswalk and read the status of walk lights to know when it is time to cross, we outline the directions Crosswatch is now taking to help realize its potential for becoming a practical system: namely, augmenting computer vision with other information sources, including geographic information systems (GIS) and sensor data, and inferring the user's location much more precisely than is possible through GPS alone, to provide a much larger range of information about traffic intersections to the pedestrian. DESIGN/METHODOLOGY/APPROACH: The paper summarizes past progress on Crosswatch and describes details about the development of new Crosswatch functionalities. One such functionality, which is required for determination of the user's precise location, is studied in detail, including the design of a suitable user interface to support this functionality and preliminary tests of this interface with visually impaired volunteer subjects.
FINDINGS: The results of the tests of the new Crosswatch functionality demonstrate that the functionality is feasible in that it is usable by visually impaired persons. RESEARCH LIMITATIONS/IMPLICATIONS: While the tests that were conducted of the new Crosswatch functionality are preliminary, the results of the tests have suggested several possible improvements, to be explored in the future. PRACTICAL IMPLICATIONS: The results described in this paper suggest that the necessary technologies used by the Crosswatch system are rapidly maturing, implying that the system has an excellent chance of becoming practical in the near future. ORIGINALITY/VALUE: The paper addresses an innovative solution to a key problem faced by blind and visually impaired travelers, which has the potential to greatly improve independent travel for these individuals.

Entities:  

Keywords:  Assistive Technology; Blindness; Pedestrian Safety; Traffic Intersection; Visual Impairment

Year:  2013        PMID: 24353745      PMCID: PMC3864896          DOI: 10.1108/17549451311328808

Source DB:  PubMed          Journal:  J Assist Technol        ISSN: 1754-9450


  4 in total

1.  Staying in the Crosswalk: A System for Guiding Visually Impaired Pedestrians at Traffic Intersections.

Authors:  V Ivanchenko; J Coughlan; H Shen
Journal:  Assist technol Res Ser       Date:  2009

2.  Crosswatch: a Camera Phone System for Orienting Visually Impaired Pedestrians at Traffic Intersections.

Authors:  Volodymyr Ivanchenko; James Coughlan; Huiying Shen
Journal:  Comput Help People Spec Needs       Date:  2008-07

3.  Real-Time Walk Light Detection with a Mobile Phone.

Authors:  Volodymyr Ivanchenko; James Coughlan; Huiying Shen
Journal:  Comput Help People Spec Needs       Date:  2010-07

4.  New orientation and accessibility option for persons with visual impairment: transportation applications for remote infrared audible signage.

Authors:  William Crandall; Billie Louise Bentzen; Linda Myers; John Brabyn
Journal:  Clin Exp Optom       Date:  2001-05       Impact factor: 2.742

  4 in total
  6 in total

1.  SMARTPHONE-BASED CROSSWALK DETECTION AND LOCALIZATION FOR VISUALLY IMPAIRED PEDESTRIANS.

Authors:  Vidya N Murali; James M Coughlan
Journal:  IEEE Int Conf Multimed Expo Workshops       Date:  2013-07

2.  Self-Localization at Street Intersections.

Authors:  Giovanni Fusco; Huiying Shen; James M Coughlan
Journal:  Proc Conf Comput Robot Vis       Date:  2014-05

3.  Mind your crossings: Mining GIS imagery for crosswalk localization.

Authors:  Dragan Ahmetovic; Roberto Manduchi; James M Coughlan; Sergio Mascetti
Journal:  ACM Trans Access Comput       Date:  2017-04

Review 4.  How a diverse research ecosystem has generated new rehabilitation technologies: Review of NIDILRR's Rehabilitation Engineering Research Centers.

Authors:  David J Reinkensmeyer; Sarah Blackstone; Cathy Bodine; John Brabyn; David Brienza; Kevin Caves; Frank DeRuyter; Edmund Durfee; Stefania Fatone; Geoff Fernie; Steven Gard; Patricia Karg; Todd A Kuiken; Gerald F Harris; Mike Jones; Yue Li; Jordana Maisel; Michael McCue; Michelle A Meade; Helena Mitchell; Tracy L Mitzner; James L Patton; Philip S Requejo; James H Rimmer; Wendy A Rogers; W Zev Rymer; Jon A Sanford; Lawrence Schneider; Levin Sliker; Stephen Sprigle; Aaron Steinfeld; Edward Steinfeld; Gregg Vanderheiden; Carolee Winstein; Li-Qun Zhang; Thomas Corfman
Journal:  J Neuroeng Rehabil       Date:  2017-11-06       Impact factor: 4.262

5.  Determining a Blind Pedestrian's Location and Orientation at Traffic Intersections.

Authors:  Giovanni Fusco; Huiying Shen; Vidya Murali; James M Coughlan
Journal:  Comput Help People Spec Needs       Date:  2014

6.  Zebra Crossing Spotter: Automatic Population of Spatial Databases for Increased Safety of Blind Travelers.

Authors:  Dragan Ahmetovic; Roberto Manduchi; James M Coughlan; Sergio Mascetti
Journal:  ASSETS       Date:  2015-10
  6 in total

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