… that this research primarily focuses on indoor localization and does not address outdoor
positioning performance improvements. Pertaining to Indoor Positioning Systems (IPS), different …

… crowdsourced radio map, we propose an uncertainty-aware WiFi localization module and
a bespoken Bayesian fusion … with the incorporation of various data sources and modeling …

… We gathered around 2 hours of test data across 3 different buildings, with … radio map
fusion method, We compare our multimodal localization method with the best IMU WiFi fusion …

… Different from former surveys, we classify the indoor mapping … Moreover, it adopted curve
fit fusion to improve the output matrices … and radio map were leveraged for indoor localization. …

… Different from the above four methods, our crowdsourcing method … construction and indoor
localization are introduced. … algorithm using the forward and backward track fusion of user …

… indoor positioning research has been booming, and various … This paper [16] proposes a
semi crowdsourced radio map … for rough positioning and helps to mark location information into …

… , crucial to widen the usage scenarios of indoor localisation. … mall, to estimate an initial radio
map and correct the users’ … magnetic data are combined through sensor fusion employing a …

… To support those location-based services, diverse positioning … Crowdsourcing positioning
generates a radio map by … Zee [21] is an early crowdsourcing indoor positioning system to …

… which fuses crowdsourced WiFi and IMU data for radio map … each other but at different turning
points may be fused by mistake … However, the error caused by wrong fusion in this case is …

… into the real one, which in turn degrades the radio map in location space. Second, each
crowdsourcing mobile device may be diverse … for radio map in crowdsourcing indoor positioning …