Realtime Local Navigation for the Blind: Detection of Lateral Doors and Sound Interface

Author:

Moreno M.,Shahrabadi S.,José J.,du Buf J.M.H.,Rodrigues J.M.F.

Publisher

Elsevier BV

Subject

General Engineering

Reference13 articles.

1. World Health Organization, Visual impairment and blindness, Fact Sheet n._282, October 2011; URL: http://www.who.int/mediacentre/factsheets/fs282/.

2. Singh, V., Paul, R., Mehra, D., Gupta, A., Sharma, V., Jain, S., Agarwal, C., Garg, A., Gujral, S., Balakrishnan, M., Paul, K., Rao, P., Manocha, D., “Smart” cane for the visually impaired: Design and controlled field testing of an a_ordable obstacle detection system, in: In Proc. 12th Int. Conf. on Mobility and Transport for Elderly and Disabled Persons(TRANSED); 2010, Hong Kong.

3. Schmitz, B., Becker, S., Blessing, A., Matthias, G., Acquisition and presentation of diverse spatial context data for blind navigation, In Proc. IEEE 12th Int. Conf. on Mobile Data Management; 1, 2011, p. 276-284.

4. Costa, P., Fernandes, H., Vasconcelos, V., Coelho, P., Barroso, J., Hadjileontiadis, L., Landmarks detection to assist the navigation of visually impaired people, In Proc. 14th Int. Conf. on Human-computer interaction: towards mobile and intelligent interaction environments, 3, 2011, p. 293-300.

5. Tian, Y., Yang, X., Arditi, A., Computer vision-based door detection for accessibility of unfamiliar environments to blind persons, 12th Int. Conf. on Computers Helping People with Special Needs LNCS 6180; 2010, p, 263-270.

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