Navigation systems help users access unfamiliar environments. Current technological
advancements enable users to encapsulate these systems in handheld devices, which …

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 …

Purpose The purpose of the present article is to highlight the role of Artificial Intelligence (AI)
and Robotics in the tourism industry. The various technologies being integrated to improve …

Location determination finds wide applications in daily life. Instead of existing efforts devoted
to localizing tourist photos captured by perspective cameras, in this article, we focus on …

Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful 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 …

Smartphone camera or inertial measurement unit (IMU) sensor-based systems can be
independently used to provide accurate indoor positioning results. However, the accuracy of …

WiFi-based indoor positioning methods have attracted extensive attention due to the wide
installation of WiFi access points (APs). Recently, the WiFi standard was modified and …

The ability to precisely locate and navigate a partially impaired or a blind person within a
building is increasingly important for a wide variety of public safety and localization services …

Indoor localization is one of the fundamentals of location-based services (LBS) such as
seamless indoor and outdoor navigation, location-based precision marketing, spatial …