Localization techniques are becoming key to add location context to the Internet-of-Things
(IoT) data without human perception and intervention. Meanwhile, the newly emerged low …

Although much research has taken place in WiFi indoor localization systems, their accuracy
can still be improved. When designing this kind of system, fingerprint-based methods are a …

The Internet of Things (IoT) has started to empower the future of many industrial and mass-
market applications. Localization techniques are becoming key to add location context to IoT …

This article focuses on the challenging topic of indoor location and guidance in daily tasks of
location and hostile scenarios (ie emergency evacuations) that could be produced, which at …

Received Signal Strength Indicator (RSSI) localization using fingerprint has become a
prevailing approach for indoor localization. However, the fingerprint-collecting work is …

Indoor localization system using receive signal strength indicator from wireless access point
has attracted lots of attention recently. Geometric method is one of the most widely used …

In order to improve indoor location performance based on Wi-Fi fingerprint, the novel
algorithm is put forward based on K-mean algorithm and fuzzy support vector machine …

Indoor landmarks, like corners, staircases and etc, play an important role in crowdsourcing-
based indoor localization systems. This paper studies the problem of indoor corner detection …

In order to improve the quality of the RSS (Received Signal Strength) during the offline
phase, a Mixture Gaussian Calibration Model (MGCM) is proposed by us, and a Time …

Corner recognition plays an important role in trajectory-route matching for fingerprint
crowdsourcing in indoor positioning systems. However, the pose diversity and fake corner …