Addressing crucial issues of indoor positioning systems

Diplôme Thèse Addressing crucial issues of indoor positioning systems eng 2017-11-23 author Anagnostopoulos Grigorios 751279 director Konstantas Dimitri 23437 director Deriaz Michel 504335 10.13097/archive-ouverte/unige:101628 urn:nbn:ch:unige-1016283 GSEM 49 The goal of this Thesis is to propose novel methodologies to address crucial issues of indoor positioning systems (IPS). The problems addressed in this work are met throughout the whole life cycle of an IPS conception, realisation and operation, from designing innovative positioning methodologies to defining evaluation and tuning methodologies. Therefore, this Thesis initially investigates and reports the user needs and requirements concerning the wayfinding problems at an important use case: Geneva's University Hospitals (HUG). Following, it proposes innovative solutions that construct a robust IPS, along with ways of seamlessly switching from indoor to outdoor positioning. To strengthen the robustness of the system and reduce the required calibration effort, algorithms of automatic recalibration of the system are proposed and analyzed, addressing the problems of device and environment diversity. Lastly, well-defined methodologies of evaluating, comparing and optimally tuning positioning systems are proposed, addressing the most trending issues of the IPS community. Indoor positioning Tuning Ground truth definition Indoor positioning deployment Positioning evaluation Pareto optimization Multiobjective optimization Tracking Indoor navigation Hospital way-finding User requirements User needs Parameter optimization Automatic parameter optimization methodology Position estimation Statistical parameter Positioning system Moving target Static target Mathematical model Distance measurement Calibration Performance evaluation Heuristic algorithms Device independence Device heterogeneity Localisation Propagation model Online self-calibration Ranging algorithms Mobile device Access point Received signal strength indication Rssi Reception characteristics Indoor deployment Bluetooth Bluetooth low energy technology Ble technology Indoor and outdoor detection Seamless handover Dynamic accuracy estimation Dewey 330/650 Dewey 025.06/650 Dewey 025.063 13 Centre universitaire d'informatique 0D3 118 Information Science Institute S6 false b0d83293-0210-415c-bc6e-fc20de269713 Thesis Public Thesis_Anagnostopoulos.pdf 23854321 application/pdf openAccess Centres et instituts / Centre universitaire d'informatique Faculté d'économie et de management / Information Science Institute

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Anagnostopoulos, Grigorios