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Recent Advances in Indoor Localization Systems and Technologies

Resumen/Descripción – provisto por la editorial

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Palabras clave – provistas por la editorial

filter; finite memory structure; infinite memory structure; smoother; target tracking; Indoor Positioning System; WLAN; C-Means; K-Means; Access Point Selection; RSS-fingerprint; smartphone; pedestrian dead reckoning; heading estimation; autoregressive model; adaptive Kalman filter; indoor localization; Wi-Fi received signal strength indicator (RSSI); semisupervised learning; feature extraction; mobile fingerprinting; trajectory learning; localization; hybrid localization; Bluetooth Low Energy; extended kalman filter; internet of things; proximity sensors; smartphone sensors; pedestrian dead reckoning (PDR); Wi-Fi indoor positioning; sensor fusion frameworks; Kalman filter; location fingerprinting; trilateration; received signal strength indication (RSSI); indoor positioning; 5G system; hybrid positioning; geometric dilution of precision; closed-form solution; Cramer-Rao lower bound; visually impaired (VI); computer vision; deep learning; multi-label convolutional support vector machine (M-CSVM); assistive technology; visually impaired; navigational system; indoor navigation; markers; mobile robots; wireless sensor network; time of arrival (TOA); NLOS; modified probabilistic data association (MPDA); indoor location recognition; received signal strength (RSS); Wi-Fi fingerprint positioning; deep neural network (DNN); optimization methods; adaptive filter; hidden Markov models (HMM); I/O detection; GPS signal; machine learning; positioning applications.; PDR; geomagnetic positioning; particle filter; genetic algorithm; Wi-Fi fine timing measurement; NLOS identification; Gaussian model; carrier phase; differential pseudolite system; extended Kalman filter; reliability; integrity monitoring; transparent obstacle recognition; reflection noise; laser range finder; path planning; mobile robot; automated data acquisition; remote sensing technologies; automated progress reporting; data fusion; tracking resources; bearing estimation; azimuth estimation; signal processing; position estimation; photodiode array; indoor ranging algorithm; channel state information; received signal strength indicator; VPR; fusion navigation; UWB; multi-path detection; NLOS and MP discrimination; SVM; random forest; multilayer perceptron; LOS; DWM1000; fingerprinting; smart buildings; mobile devices; indoor localization technologies; model based techniques; quality control

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-1484-0

País de edición

Suiza