An Introduction to SnapTrack® Wireless-Assisted GPS Technology™

Moeglein, Mark; Krasner, Norman

doi:10.1007/pl00012851

Cited by 9 publications

(7 citation statements)

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“…Additionally, the figure shows how different technologies can scale to an outdoor environment. Noteworthy, several GPS‐based technologies have been employed to provide seamless (urban area) indoor–outdoor localization features, but the accuracy is worse than the one obtained with indoor ad‐hoc techniques.…”

Section: Indoor Localization Systemsmentioning

confidence: 99%

PLaTHEA: a marker‐less people localization and tracking system for home automation

Leotta

Mecella

2014

Softw Pract Exp

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SummaryCurrent smart spaces require more and more sophisticated sensors able to acquire the state of the environment in order to provide advanced and customized services. Among the most important environmental variables, locations of users and their identities represent a primary concern for smart home applications. Despite some years of investigation in indoor positioning, the availability of systems designed as components pluggable into complex home automation platforms is limited. We present People Localization and Tracking for HomE Automation (PLaTHEA), a vision‐based indoor localization system specifically tailored for Ambient Assisted Living applications. PLaTHEA features a novel technique to acquire a stereo video stream from a couple of independent (and not synchronized) network‐attached cameras, thus easing its physical deployment. The input stream is processed by integrating well‐known techniques with a novel tracking approach targeted to indoor spaces. The system has a modular architecture that offers clear interfaces exposed as Web services, and it can run on off‐the‐shelf and cheap hardware (both in terms of sensing devices and computing units). We evaluated PLaTHEA in real usage conditions and reported the measured performance in terms of precision and accuracy. Low light, crowded and large monitored environments might slightly decrease the performance of the system; nevertheless, the results here presented show that it is perfectly suitable to be employed in the typical domestic day‐to‐day life settings. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Indoor Localization Systemsmentioning

confidence: 99%

PLaTHEA: a marker‐less people localization and tracking system for home automation

Leotta

Mecella

2014

Softw Pract Exp

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“…can be obtained from other sources, time can be saved. The benefits of A-GPS include time-to-first-fix (TTFF) improvement, higher signal sensitivity and maximum availability (LaMance, Jarvinen & DeSalas 2002, Moeglein, Krasner 2001).…”

Section: Assisted Gnssmentioning

confidence: 99%

Open Source GNSS Reference Server for Assisted-Global Navigation Satellite Systems

Zhang

Dempster

et al. 2010

J. Navigation

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Assisted-Global Navigation Satellite Systems (A-GNSS), or Assisted-Global Positioning Systems (A-GPS) in particular, are now commonly accepted as an effective way to reduce the time-to-first-fix (TTFF) in GNSS-unfriendly environments, e.g. in areas of weak GNSS signals. Today's location-based service (LBS) devices such as GPS-enabled mobile phones and personal digital assistants (PDA) rely on A-GPS; however, such commercial devices are equipped with an integrated A-GPS chip that makes customisation very difficult. The Open Source GNSS Reference Server (OSGRS) provided by the University of New South Wales is an open source Java application that can generate the necessary data for A-GPS clients. The GNSS Reference Interface Protocol (GRIP), based on extensible mark-up language (XML), is employed as the OSGRS interface protocol. This paper describes the current status of OSGRS: a client simulator is available open-source; client software which supports four different types of A-GPS-enabled receivers has been developed and used to test OSGRS. The performance of the OSGRS is analysed based on intensive tests. The challenges for OSGRS and future work are also discussed.

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“…Server-aided GPS can provide service location for outdoor cellular users [3] and offer the accuracy that meets the requirement of the standard E-911. Although it is possible for GPS to locate users indoor, a certain building or structure might be indeed indicated as the most accurate result, which is far from being satisfactory.…”

Section: Introductionmentioning

confidence: 99%

Indoor Location Algorithm Based on the Measurement of the Received Signal Strength

Wang

2006

Front. Electr. Electron. Eng. China

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The "distance-loss" model is amended by inserting a random distance-estimation variable. The estimation error is very small; thus, it does not change the log-normal distribution of the shadowing factor in the model. Then, an iterative method is introduced to reduce the influence of shadowing, and the location estimation based on the received signal strength will be improved. Simulations show that this algorithm is effective.

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An Introduction to SnapTrack® Wireless-Assisted GPS Technology™

Cited by 9 publications

References 0 publications

PLaTHEA: a marker‐less people localization and tracking system for home automation

PLaTHEA: a marker‐less people localization and tracking system for home automation

Open Source GNSS Reference Server for Assisted-Global Navigation Satellite Systems

Indoor Location Algorithm Based on the Measurement of the Received Signal Strength

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