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We address the problem of visual-based navigation of a mobile robot in indoors environments.
The Cellular Network used was O2 UK and tested in indoors.
According to [3], more than 80% of the mobile traffic is generated in indoors.
Today's apparel fabric maximizes enjoyment and comfort in indoors as well as outdoors and in any kind of weather.
The detection of occupants in indoors can be fundamental for a correct operation of the installed engineering systems (e.g. lighting, ventilation, heating and cooling).
The development of a novel depth-data based real-time obstacle detection and avoidance application for visually impaired (VI) individuals to assist them in navigating independently in indoors environments is presented in this paper.
The development of a novel depth-data based real-time obstacle detection and avoidance application for VI users to assist them in navigating independently in indoors environments has been presented.
