Sensor‐rich smartphone enables a novel approach to training the fingerprint database for
mobile indoor localization via crowd sensing. In this survey, we discuss the crowd sensing …

To improve our understanding of the indoor properties of the perturbed Earth's magnetic
field, we have developed a methodology to obtain dense and spatially referenced samples …

In this paper, we describe FootSLAM, a Bayesian estimation approach that achieves
simultaneous localization and mapping for pedestrians. FootSLAM uses odometry obtained …

We address Simultaneous Localization and Mapping (SLAM) for pedestrians by means of
WiFi signal strength measurements. In our system odometric data from foot mounted Inertial …

We consider the problem of tracking physical browsing by users in indoor spaces such as
retail stores. Analogous to online browsing, where users choose to go to certain webpages …

Pedestrian navigation is an important ingredient for efficient multimodal transportation, such
as guidance within large transportation infrastructures. A requirement is accurate positioning …

Indoor localization using mobile sensors has gained momentum lately. However, indoor
pedestrian localization with low-cost inertial measurement unit (IMU) has not been …

The next generation of navigation and positioning systems must provide greater accuracy
and reliability in a range of challenging environments to meet the needs of a variety of …

Collaborative indoor positioning techniques for pedestrians have been extensively
researched in the past years, particularly concerning the range-based collaborative indoor …

This paper proposes a new method that makes it easy for us to construct a positioning model
for device-free passive indoor localization by using model transfer techniques. With device …