Towards crowdsourcing internet of things (crowd-iot): Architectures, security and applications
Crowdsourcing can play an important role in the Internet of Things (IoT) applications for
information sensing and gathering where the participants are equipped with geolocated …
information sensing and gathering where the participants are equipped with geolocated …
H-WPS: Hybrid wireless positioning system using an enhanced wi-fi FTM/RSSI/MEMS sensors integration approach
Indoor wireless localization toward the next generation Wi-Fi access point has attracted
considerable attention due to the presentation of the state-of-art Wi-Fi fine time …
considerable attention due to the presentation of the state-of-art Wi-Fi fine time …
[HTML][HTML] A deep-learning approach for modelling pedestrian movement uncertainty in large-scale indoor areas
Modelling pedestrian movement uncertainty in complex urban environments is regarded as
a meaningful and challenging task regarding the promotion of geospatial data mining and …
a meaningful and challenging task regarding the promotion of geospatial data mining and …
[HTML][HTML] A LSTM-based approach for modelling the movement uncertainty of indoor trajectories with mobile sensing data
Individuals' indoor trajectories can be reconstructed with sensing data for indoor navigation.
However, the movement uncertainty of such reconstructed indoor trajectories has seldom …
However, the movement uncertainty of such reconstructed indoor trajectories has seldom …
Intelligent fusion structure for Wi-Fi/BLE/QR/MEMS sensor-based indoor localization
Due to the complexity of urban environments, localizing pedestrians indoors using mobile
terminals is an urgent task in many emerging areas. Multi-source fusion-based localization …
terminals is an urgent task in many emerging areas. Multi-source fusion-based localization …
Indoor geomagnetic positioning using direction-aware multiscale recurrent neural networks
M Shu, G Chen, Z Zhang, L Xu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Accurate indoor positioning has become an indispensable technology for location-based
service in indoor environments. Geomagnetic field fingerprinting for indoor positioning is an …
service in indoor environments. Geomagnetic field fingerprinting for indoor positioning is an …
Map-assisted seamless localization using crowdsourced trajectories data and bi-lstm based quality control criteria
Seamless localization service is regarded as an essential requirement towards smart city
based applications. The performance of seamless localization is restricted by the limited …
based applications. The performance of seamless localization is restricted by the limited …
Everywhere: A framework for ubiquitous indoor localization
Smartphones have become an integral part of daily human life and enable almost unlimited
coverage of human mobility. Thus, collecting pervasive crowdsourced signatures is feasible …
coverage of human mobility. Thus, collecting pervasive crowdsourced signatures is feasible …
CWIWD-IPS: A crowdsensing/walk-surveying inertial/Wi-Fi data-driven indoor positioning system
Indoor positioning system plays a key role in location-based services since the widely used
global navigation satellite system (GNSS) is denied in indoor scenarios. Crowdsensing or …
global navigation satellite system (GNSS) is denied in indoor scenarios. Crowdsensing or …
Wi-Fi Fine Time Measurement-Principles, Applications, and Future Trends: A Survey
Abstract IEEE 802.11-2016 proposed the Wi-Fi Fine Time Measurement (FTM) protocol,
aiming at providing meter or sub-meter level ranging function between smart terminals and …
aiming at providing meter or sub-meter level ranging function between smart terminals and …