Recent Advances in Indoor Localization Systems and Technologies

Recent Advances in Indoor Localization Systems and Technologies

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,...

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Detalles Bibliográficos
Otros Autores: Simon, Gyula (Editor ), Sujbert, László (Otro)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Materias:
Technology: general issues
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
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654367206719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (502 p.)

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