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

The rapid development of advanced, arguably, intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, navigation, and smart sensing in various environments. Relevant advances in art...

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Bibliographic Details
Other Authors: Li, Tiancheng (Editor), Yan, Junkun (Editor), Cao, Yue (Editor), Bajo, Javier (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
History of engineering & technology
clustering
data fusion
target detection
Grey Wolf Optimizer
Fireworks Algorithm
hybrid algorithm
exploitation and exploration
GNSS
MIMU
odometer
state constraints
simultaneous localization and mapping (SLAM)
range-only SLAM
sum of Gaussian (SoG) filter
cooperative approach
automatic fare collection system
passenger flow forecasting
time series decomposition
singular spectrum analysis
ensemble learning
extreme learning machine
wheeled mobile robot
path panning
laser simulator
fuzzy logic
laser range finder
Wi-Fi camera
sensor fusion
local map
odometry
deep learning
softmax
decision-making
classification
sensor data
Internet of Things
extended target tracking
gamma-Gaussian-inverse Wishart
Poisson multi-Bernoulli mixture
5G IoT
indoor positioning
tracking
localization
navigation
positioning accuracy
single access point positioning
fuzzy inference
calibration
car-following
Takagi-Sugeno
Kalman filter
microscopic traffic model
continuous-time model
LoRa
positioning
LoRaWAN
TDoA
map matching
compass
automotive LFMCW radar
radial velocity
lateral velocity
Doppler-frequency estimation
waveform
signal model
tensor modeling
smart community system
power efficiency
object-detection coprocessor
histogram of oriented gradient
support vector machine
block-level once sliding detection window
multi-shape detection-window
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Summary:The rapid development of advanced, arguably, intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, navigation, and smart sensing in various environments. Relevant advances in artificial intelligence (AI) and machine learning (ML) are also finding rapid adoption by industry and fan the fire. Consequently, research on intelligent sensing systems and technologies has attracted considerable attention during the past decade, leading to a variety of effective applications related to intelligent transportation, autonomous vehicles, wearable computing, wireless sensor networks (WSN), and the internet of things (IoT). In particular, the sensors community has a great interest in novel, intelligent information fusion, and data mining methods coupling AI and ML for substantial performance enhancement, especially for the challenging scenarios that make traditional approaches inappropriate. This reprint book has collected 14 excellent papers that represent state-of-the-art achievements in the relevant topics and provides cutting-edge coverage of recent advances in sensor signal and data mining techniques, algorithms, and approaches, particularly applied for positioning, tracking, navigation, and smart sensing.
Physical Description:1 electronic resource (266 p.)
ISBN:books978-3-0365-0123-9
9783036501222
9783036501239
Access:Open Access

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