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 …

Indoor localization typically relies on measuring a collection of RF signals, such as Received
Signal Strength (RSS) from WiFi, in conjunction with spatial maps of signal fingerprints. A …

Fingerprint-based localization relies on an accurate and up-to-date radio map, which is
however cumbersome to obtain. In this paper, a novel scheme is proposed to online adapt …

Trajectory estimation is a problem derived from a common indoor positioning scenario: the
user is perceiving the environment while in motion. This paper focuses on an instance: the …

Recently, indoor positioning has played a critical role in many emerging indoor applications.
However, due to complicated indoor environments, it is still challenging to develop an indoor …

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

WiFi localization, the task of determining the physical location of a mobile device from
wireless signal strengths, has been shown to be an accurate method of indoor and outdoor …

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 …

This paper proposes an efficient and effective WiFi fingerprinting‐based indoor localization
algorithm, which uses the Received Signal Strength Indicator (RSSI) of WiFi signals. In …

Currently, large amounts of Wi-Fi access logs are collected in diverse indoor environments,
but cannot be widely used for fine-grained spatio-temporal analysis due to coarse …