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Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities
| Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| Autore | Li Tiancheng |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (266 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
5G IoT
automatic fare collection system automotive LFMCW radar block-level once sliding detection window calibration car-following classification clustering compass continuous-time model cooperative approach data fusion decision-making deep learning Doppler-frequency estimation ensemble learning exploitation and exploration extended target tracking extreme learning machine Fireworks Algorithm fuzzy inference fuzzy logic gamma-Gaussian-inverse Wishart GNSS Grey Wolf Optimizer histogram of oriented gradient hybrid algorithm indoor positioning Internet of Things Kalman filter laser range finder laser simulator lateral velocity local map localization LoRa LoRaWAN map matching microscopic traffic model MIMU multi-shape detection-window navigation object-detection coprocessor odometer odometry passenger flow forecasting path panning Poisson multi-Bernoulli mixture positioning positioning accuracy power efficiency radial velocity range-only SLAM sensor data sensor fusion signal model simultaneous localization and mapping (SLAM) single access point positioning singular spectrum analysis smart community system softmax state constraints sum of Gaussian (SoG) filter support vector machine Takagi-Sugeno target detection TDoA tensor modeling time series decomposition tracking waveform wheeled mobile robot Wi-Fi camera |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557384803321 |
Li Tiancheng
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Indoor Localization Systems and Technologies
| Recent Advances in Indoor Localization Systems and Technologies |
| Autore | Simon Gyula |
| Pubbl/distr/stampa | 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 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557333003321 |
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Simon Gyula
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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