Outdoor positioning systems based on the Global Navigation Satellite System have several
shortcomings that have deemed their use for indoor positioning impractical. Location …

The last two decades have witnessed a rich variety of indoor positioning and localization
research. Starting with Microsoft Research pioneering the fingerprint approach based …

Inertial sensors play a pivotal role in indoor localization, which in turn lays the foundation for
pervasive personal applications. However, low-cost inertial sensors, as commonly found in …

Modern inertial measurements units (IMUs) are small, cheap, energy efficient, and widely
employed in smart devices and mobile robots. Exploiting inertial data for accurate and …

Advances in micro-electro-mechanical (MEMS) techniques enable inertial measurements
units (IMUs) to be small, cheap, energy efficient, and widely used in smartphones, robots …

We introduce a novel magnetic angular rate gravity (MARG) sensor fusion algorithm for
inertial measurement. The new algorithm improves the popular gradient descent …

Simultaneous localization and mapping (SLAM) has been extensively researched in past
years particularly with regard to range-based or visual-based sensors. Instead of deploying …

Geomagnetism has recently attracted considerable attention for indoor localization due to its
pervasiveness and independence from extra infrastructure. Its location signature has been …

Opportunistic signals (eg, WiFi, magnetic fields, and ambient light) have been extensively
studied for low-cost indoor localization, especially via fingerprinting. We present an …

Although vehicle location-based services are prevalent outdoors, we are back into darkness
in many GPS blocked environments, such as tunnels, indoor parking garages, and multilevel …