Recent Advances in Indoor Localization Systems and Technologies

• Autore: Simon Gyula
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (502 p.)
• Soggetto topico: Technology: general issues
• Soggetto non controllato: 5G system; Access Point Selection; adaptive filter; adaptive Kalman filter; assistive technology; automated data acquisition; automated progress reporting; autoregressive model; azimuth estimation; bearing estimation; Bluetooth Low Energy; C-Means; carrier phase; channel state information; closed-form solution; computer vision; Cramer-Rao lower bound; data fusion; deep learning; deep neural network (DNN); differential pseudolite system; DWM1000; extended kalman filter; extended Kalman filter; feature extraction; filter; fingerprinting; finite memory structure; fusion navigation; Gaussian model; genetic algorithm; geomagnetic positioning; geometric dilution of precision; GPS signal; heading estimation; hidden Markov models (HMM); hybrid localization; hybrid positioning; I/O detection; indoor localization; indoor localization technologies; indoor location recognition; indoor navigation; indoor positioning; Indoor Positioning System; indoor ranging algorithm; infinite memory structure; integrity monitoring; internet of things; K-Means; Kalman filter; laser range finder; localization; location fingerprinting; LOS; machine learning; markers; mobile devices; mobile fingerprinting; mobile robot; mobile robots; model based techniques; modified probabilistic data association (MPDA); multi-label convolutional support vector machine (M-CSVM); multi-path detection; multilayer perceptron; navigational system; NLOS; NLOS and MP discrimination; NLOS identification; optimization methods; particle filter; path planning; PDR; pedestrian dead reckoning; pedestrian dead reckoning (PDR); photodiode array; position estimation; positioning applications; proximity sensors; quality control; random forest; received signal strength (RSS); received signal strength indication (RSSI); received signal strength indicator; reflection noise; reliability; remote sensing technologies; RSS-fingerprint; semisupervised learning; sensor fusion frameworks; signal processing; smart buildings; smartphone; smartphone sensors; smoother; SVM; target tracking; time of arrival (TOA); tracking resources; trajectory learning; transparent obstacle recognition; trilateration; UWB; visually impaired; visually impaired (VI); VPR; Wi-Fi fine timing measurement; Wi-Fi fingerprint positioning; Wi-Fi indoor positioning; Wi-Fi received signal strength indicator (RSSI); wireless sensor network; WLAN
• Persona (resp. second.): SujbertLászló; SimonGyula
• Sommario/riassunto: Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this book present the recent advances and new developments in indoor localization systems and technologies, propose novel or improved methods with increased performance, provide insight into various aspects of quality control, and also introduce some unorthodox positioning methods.
• Titolo autorizzato: Recent Advances in Indoor Localization Systems and Technologies
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557333003321
• Lo trovi qui: Univ. Federico II