… patterns of users are recorded, a common scenario in indoor localisation, we must protect
individual user’s privacy or it could potentially hinder the adoption of systems. For end-users it …

… for indoor localisation has increased. Earlier systems have been deployed in order to
demonstrate that indoor localisation … , thus the user can download the localisation software for free …

… Aside from their use in robot localisation, particle filters have … ], which use particle filters to
update the location of a user based on … and do not use the environment to constrain the user’s …

… the accuracy of WLAN-based indoor localisation methods was determined using a robust …
localisation techniques use the receive signal strength indication to estimate a network user’s …

… Indoor localization in the literature is based on various … various WSN platforms for indoor
localization have been developed… are drawn regarding indoor localization capabilities of WSNs. …

… This work is also achieved through the use of a distributive online based localisation
algorithm based on Kalman filtering Received Signal Strength Indicator (RSSI) and Gauss–Newton …

… is proposed for user localisation. Multiple Kinects are mounted in an … an indoor 3D
localisation system for VR applications. A Hough transform algorithm is applied to detect the indoor …

… multi-sensor multiuser positioning method by implementing relative ranging information
between nearby mobile users to correct and update the fingerprint outputs from each user’s Wi-…

… We used a finger printing-based localisation algorithm to estimate the user location. The
fingerprinting technique consists of two phases: offline phase and online phase. In the offline …

… We present a novel indoor mapping and localisation … user explores an unknown indoor
environment, we need an approach that works without any prior information about indoor …