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Sensing, Recognition, and Prediction Methods / WiFi Fingerprinting and Indoor Localization

How can multidimensional parameters (e.g., angle of arrival, angle of azimuth, time of flight) be accurately extracted and utilized for localization?

helpResearch questionWiFi Fingerprinting and Indoor Localization

How can multidimensional parameters (e.g., angle of arrival, angle of azimuth, time of flight) be accurately extracted and utilized for localization?

UbiComp '22Toward Reliable Non-Line-of-Sight Localization Using Multipath Reflections

Similar questions

helpResearch questionWiFi Fingerprinting and Indoor Localization

How can the ranging precision limit of commercial ultra-wideband (UWB) devices be broken to reach millimeter or sub-millimeter accuracy?

UbiComp '24Push the Limit of Highly Accurate Ranging on Commercial UWB Devices

helpResearch questionWiFi Fingerprinting and Indoor Localization

How can signal phase information resolve phase drift and phase ambiguity in existing UWB devices?

UbiComp '24Push the Limit of Highly Accurate Ranging on Commercial UWB Devices

helpResearch questionWiFi Fingerprinting and Indoor Localization

How can UWB ranging error be further reduced under bandwidth constraints?

UbiComp '24Push the Limit of Highly Accurate Ranging on Commercial UWB Devices

helpResearch questionWiFi Fingerprinting and Indoor Localization

How can graph attention mechanisms effectively localize in multi-user collaboration or single-user multi-timestamp scenarios?

UbiComp '23GC-Loc: A Graph Attention Based Framework for Collaborative Indoor Localization Using Infrastructure-free Signals

helpResearch questionWiFi Fingerprinting and Indoor Localization

How can infrastructure-free signals (e.g., geomagnetic signals) improve indoor localization accuracy through collaborative mechanisms?

UbiComp '23GC-Loc: A Graph Attention Based Framework for Collaborative Indoor Localization Using Infrastructure-free Signals

helpResearch questionWiFi Fingerprinting and Indoor Localization

How can multi-model fusion strategies improve indoor localization robustness in high-noise environments?

UbiComp '23GC-Loc: A Graph Attention Based Framework for Collaborative Indoor Localization Using Infrastructure-free Signals

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