Abstract
We present a system to alert visually impaired pedestrians of vehicles approaching a road-crossing without traffic control. The system is computationally efficient, requires low-cost hardware, and can be mounted on existing street infrastructure, such as sign or lighting poles. The incoming video stream, showing the approaching traffic, is transformed to a one-dimensional signal, that is forwarded to a decision module. Preliminary experimental results indicate promising probability-of-detection and false alarm rates, while providing sufficiently early warning to the pedestrian. The planned target hardware is a solar-charged low cost Android device.
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Amedi, A.: Virtual cane for the visually impaired, presented at the international presidential conference, June 2011. http://blog.imric.org/blog/sidney/virtual-cane-visually-impaired-presented-international-presidential-conference
American Association of State Highway and Transportation Officials: A Policy on geometric design of highways and streets. Washington, D.C. (2004)
Barlow, J., Bentzen, B., 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.: Universal real-time navigational assistance (URNA): an urban bluetooth beacon for the blind. In: Proceedings of the 1st ACM SIGMOBILE International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environments, HealthNet 2007, pp. 83–88. ACM, New York (2007)
Crandall, W., Bentzen, B., Myerss, 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, 120–131 (2001)
Emerson, R., Sauerburger, D.: Detecting approaching vehicles at streets with no traffic control. Journal of Visual Impairment & Blindness 102(12), 747 (2008)
Fallon, J.: Systems and methods for laser radar imaging for the blind and visually impaired (2008)
Horn, B., Fang, Y., Masaki, I.: Time to contact relative to a planar surface. In: Intelligent Vehicles Symposium, pp. 68–74. IEEE, June 2007
Ivanchenko, V., Coughlan, J., Shen, H.: Crosswatch: a camera phone system for orienting visually impaired pedestrians at traffic intersections. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 1122–1128. Springer, Heidelberg (2008)
Kay, L.: A sonar aid to enhance spatial perception of the blind: engineering design and evaluation. Radio and Electronic Engineer 44 (1974)
Lee, D.: A theory of visual control of braking based on information about time-to-collision. Perception 5(4), 437–459 (1976)
Lucas, B., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence, vol. 2, pp. 674–679. Morgan Kaufmann Publishers Inc., San Francisco (1981)
Pun, T., Roth, P., Bologna, G., Moustakas, K., Tzovaras, D.: Image and video processing for visually handicapped people. J. Image Video Process. 2007, 4:1–4:12 (2007)
Sauerburger, D.: Developing criteria and judgment of safety for crossing streets with gaps in traffic. Journal of Visual Impairment & Blindness 93(7), 447–450 (1999)
Senst, T., Eiselein, V., Sikora, T.: II-LK – a real-time implementation for sparse optical flow. In: Campilho, A., Kamel, M. (eds.) ICIAR 2010, Part I. LNCS, vol. 6111, pp. 240–249. Springer, Heidelberg (2010)
Shioyama, T., Uddin, M.: Detection of pedestrian crossings with projective invariants from image data. Measurement Science and Technology 15(12), 2400 (2004)
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Perry, A., Kiryati, N. (2015). Road-Crossing Assistance by Traffic Flow Analysis. In: Agapito, L., Bronstein, M., Rother, C. (eds) Computer Vision - ECCV 2014 Workshops. ECCV 2014. Lecture Notes in Computer Science(), vol 8927. Springer, Cham. https://doi.org/10.1007/978-3-319-16199-0_26
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DOI: https://doi.org/10.1007/978-3-319-16199-0_26
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