Abstract
Today, mobile phones are equipped with at least half a dozen sensors such as accelerometer, gyroscope, proximity, and ambient light sensor. Mobile phone is increasingly being used to address various challenges on part of information dissemination, navigation, guidance, and short-range device-to-device communication. With the availability of sensors, there is a growing focus on the development of localization and mapping algorithms using mobile. In this paper, we focus on the simultaneous localization and mapping algorithm (SLAM) for visually impaired people. We have conducted an initial study on a visually impaired person for outdoor navigation in our University campus.
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Joshi, A., Agrawal, H., Agrawal, P. (2016). Simultaneous Localization and Mapping for Visually Impaired People for Outdoor Environment. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 381. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2526-3_12
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DOI: https://doi.org/10.1007/978-81-322-2526-3_12
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