Results 151 to 160 of about 9,554,513 (198)

Using Indoor Positioning Systems (IPS), for Supporting the Digital Mapping and Evaluation of Material Handling Processes, in Intralogistics Systems

Acta Polytechnica Hungarica
Petra Molnár-Major, Krisztián Bóna
openaire   +1 more source

Data reconciliation of indoor positioning data: Improve position data accuracy in warehouse environment. [PDF]

MethodsX
Rácz-Szabó A, Ruppert T, Abonyi J.
europepmc   +1 more source

Anomaly-resilient geofencing and predictive navigation in IoT environments using machine learning and federated learning for metaverse workplaces and smart shopping malls. [PDF]

Sci Rep
Mohamed NEM, Shafea MA, Abdelhakam MM.
europepmc   +1 more source

On Fusing Wireless Fingerprints with Pedestrian Dead Reckoning to Improve Indoor Localization Accuracy. [PDF]

Sensors (Basel)
Fernando GC, Qi T, Ndimbo EV, Abraha AT, Wang B.   +4 more
europepmc   +1 more source

SDR-Fi-Z: A Wireless Local Area Network-Fingerprinting-Based Indoor Positioning Method for E911 Vertical Accuracy Mandate. [PDF]

Sensors (Basel)
Mundlamuri R, Inupakutika D, Akopian D.
europepmc   +1 more source

Determining design criteria for indoor positioning system projects in hospitals: A design science approach. [PDF]

Digit Health
Wichmann J, Paetow T, Leyer M, Aweno B, Sandkuhl K.   +4 more
europepmc   +1 more source

Vision-Based UAV Detection and Localization to Indoor Positioning System. [PDF]

Sensors (Basel)
Choutri K, Lagha M, Meshoul S, Shaiba H, Chegrani A, Yahiaoui M.   +5 more
europepmc   +1 more source

Real-Time Indoor Visible Light Positioning (VLP) Using Long Short Term Memory Neural Network (LSTM-NN) with Principal Component Analysis (PCA). [PDF]

Sensors (Basel)
Shu YH, Chang YH, Lin YZ, Chow CW.
europepmc   +1 more source

Developments of a centimeter-level precise muometric wireless navigation system (MuWNS-V) and its first demonstration using directional information from tracking detectors. [PDF]

Sci Rep
Varga D, Tanaka HKM.
europepmc   +1 more source

Enhancing indoor monitoring of visually impaired people using temporal convolutional network with optimization model in IoT environment. [PDF]

Sci Rep
Alsubaei FS, Alshdadi AA, Rizwanullah M.
europepmc   +1 more source