Abstract
The “Crosswatch” project is a smartphone-based system developed by the authors for providing guidance to blind and visually impaired pe-destrians 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 direction Crosswatch should take 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, to provide a much larger range of information about traffic intersections to the pedestrian.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ahmetovic, D., Bernareggi, C., Mascetti, S.: Zebralocalizer: identification and localization of pedestrian crossings. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI 2011). ACM, New York (2011)
Barlow, J.M., Bentzen, B.L., Tabor, L.: Accessible pedestrian signals: Synthesis and guide to best practice. National Cooperative Highway Research Program (2003)
Bohonos, S., Lee, A., Malik, A., Thai, C., Manduchi, R.: Cellphone Accessible Information via Bluetooth Beaconing for the Visually Impaired. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 1117–1121. Springer, Heidelberg (2008)
Crandall, W., Bentzen, B., Myers, L., Brabyn, J.: New orientation and accessibility option for persons with visual impairment: transportation applications for remote infrared audible signage. Clinical and Experimental Optometry 84(3), 120–131 (2001)
Ivanchenko, V., Coughlan, J., Shen, H.: Staying in the Crosswalk: A System for Guiding Visually Impaired Pedestrians at Traffic Intersections. In: Association for the Advancement of Assistive Technology in Europe (AAATE 2009), Florence, Italy (September 2009)
Ivanchenko, V., Coughlan, J., Shen, H.: Real-Time Walk Light Detection with a Mobile Phone. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010. LNCS, vol. 6180, pp. 229–234. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Coughlan, J.M., Shen, H. (2012). The Crosswatch Traffic Intersection Analyzer: A Roadmap for the Future. In: Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2012. Lecture Notes in Computer Science, vol 7383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31534-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-31534-3_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31533-6
Online ISBN: 978-3-642-31534-3
eBook Packages: Computer ScienceComputer Science (R0)