Computer vision based indoor localization methods use either an infrastructure of static
cameras to track mobile entities (eg, people, robots) or cameras attached to the mobile …

Indoor navigation has remained an active research area for the last decade. Unlike outdoor
environments, indoor environments have additional challenges, such as weak signals, low …

Featured Application An Augmented Reality application designed to allow on-the-spot
museum visitors to navigate and view exhibitions using their own mobile devices by …

In indoor target tracking based on wireless sensor networks, the particle filtering algorithm
has been widely used because of its outstanding performance in co** with highly non …

Abstract Background and Objective Daily activities such as shop** and navigating indoors
are challenging problems for people with visual impairment. Researchers tried to find …

For the purpose of tackling ultra-wideband (UWB) indoor positioning with signal
interference, a binary classifier for signal interference discrimination and positioning errors …

Independent wayfinding is a major challenge for blind and visually impaired (BVI) travelers.
Although GPS-based localization approaches enable the use of navigation smartphone …

Indoor localization is still an open challenge, and some pseudolites have been developed to
achieve seamless positioning service based on some commercialized GNSS chips …

Not only has information technology evolved rapidly, but the spatial cognition theory for blind
and visually impaired (BVI) people has also made great strides, which has opened up a new …

The use of smartphones for accurate navigation in underground spaces, such as subway
stations, poses several challenges. This is because it is difficult to obtain a sure estimate of …