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The concept of indoor location positioning has been around for decades now. Despite the existence of many algorithms that can achieve location positioning with remarkable performance in terms of accuracy, implementation of such algorithms has not been done on a large scale. There is a trade-off between the positioning accuracy and the complexity of the algorithm. This paper introduces and explains...
The accuracy of a positioning system is usually expressed as its average position error in an experiment. However, when the ground truth is no longer available, it would still be useful to know the reliability of a position estimate based on a single measurement. To obtain a reliability metric, we hypothesize that there is a relation between the uncertainty in a position's posterior probability distribution,...
This paper investigates the role of quantization in the Received Signal Strength Indicator (RSSI) information used for fingerprinting (FP) applications. One of the common drawbacks of FP is the large data size and consequently the large search space and computational load as a result of either vastness of the positioning area or the finer resolution in the FP grid map: this limits the application...
Homo sapiens is a common, even if often uncredited, component of indoor positioning research. Despite the increasing number of automatic benchmarking platforms, performance of a positioning system is still typically evaluated by a graduate student with a smartphone in their hand. Powered by the varying levels of motivation, attention and spatial awareness, research assistants gather data while walking...
In this paper the fusion of data from a network of security cameras and RSS fingerprint observations are combined to facilitate the simultaneous tracking of multiple persons inside indoor environments. An objective of the developed algorithm is to utilize existing building infrastructure namely the networks of security cameras and WiFi access points. Additionally minimal initial and maintenance calibration...
The earth's magnetic field needs no transmitter infrastructure and can be measured everywhere. Therefore its use in fingerprinting technology for indoor-positioning and navigation seems to be useful. In this work the magnetic field is used in combination with Wi-Fi and RFID in the fingerprinting approach. The idea is to first calculate an approximate solution with Wi-Fi and then refine it with the...
Indoor localization is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technologies, particularly smartwatches with built-in sensors, and personal devices, such as smartphones, are being seen as the breakthrough for making concrete the envisioned Smart Environment (SE) paradigm. In particular, scenarios devoted to indoor localization...
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