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Multi-Sensor Information Fusion

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This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.

This book is included in DOAB.

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Keywords

  • A* search algorithm
  • acoustic emission
  • adaptive distance function
  • aircraft pilot
  • alumina concentration
  • artificial marker
  • Attitude
  • attitude estimation
  • augmented state Kalman filtering (ASKF)
  • Bar-Shalom Campo
  • Bayesian reasoning method
  • belief entropy
  • belief functions
  • calibration
  • camera
  • cardiac PET
  • closed world
  • coefficient of determination maximization strategy
  • complex surface measurement
  • conflict measurement
  • conflicting evidence
  • convergence condition
  • covariance matrix
  • Covariance Projection method
  • cutting forces
  • data association
  • data classification
  • Data fusion
  • data fusion architectures
  • data preprocessing
  • data registration
  • decision-level sensor fusion
  • deep learning
  • Dempster-Shafer evidence theory (DST)
  • Dempster–Shafer evidence theory
  • Dempster–Shafer evidence theory (DST)
  • Deng entropy
  • distributed architecture
  • distributed fusion
  • distributed intelligence system
  • domain adaption
  • DoS attack
  • drift compensation
  • dual gating
  • dynamic optimization
  • EEG
  • electronic nose
  • embedded systems
  • estimation
  • evidence combination
  • evidential reasoning
  • expectation maximization (EM) algorithm
  • extended belief entropy
  • extended Kalman filter
  • Eye-tracking
  • Facial expression
  • fast guided filter.
  • fault diagnosis
  • feature representations
  • fire source localization
  • fixed-point filter
  • fuzzy neural network
  • galvanic skin response
  • Gaussian density peak clustering
  • Gaussian mixture model
  • Gaussian mixture model (GMM)
  • gaussian mixture probability hypothesis density
  • Gaussian process
  • Gaussian process model
  • Gaussian process regression
  • global information
  • GMPHD
  • gradient domain
  • grey group decision-making
  • health management decision
  • health reliability degree
  • Hellinger distance
  • high-definition map
  • high-dimensional fusion data (HFD)
  • Human Activity Recognition (HAR)
  • hybrid adaptive filtering
  • ICP
  • image fusion
  • image registration
  • inconsistent data
  • industrial cyber-physical system (ICPS)
  • Industry 4.0
  • information filter
  • information fusion
  • integer programming
  • intelligent and connected vehicles
  • intelligent transport system
  • interaction tracker
  • interference suppression
  • Internet of Things (IoT)
  • Kalman filter
  • land vehicle
  • least-squares filtering
  • least-squares smoothing
  • LiDAR
  • linear constraints
  • linear regression
  • local structure descriptor
  • low-cost sensors
  • machine health monitoring
  • magnetic angular rate and gravity (MARG) sensor
  • maintenance decision
  • manifold
  • MEMS accelerometer and gyroscope
  • mimicry security switch strategy
  • mix-method approach
  • most suitable parameter form
  • multi-environments
  • multi-focus
  • multi-sensor data fusion
  • multi-sensor information fusion
  • multi-sensor joint calibration
  • multi-sensor measurement
  • multi-sensor network
  • multi-sensor system
  • multi-sensor time series
  • multi-source data fusion
  • multi-target tracking
  • multirotor UAV
  • multisensor data fusion
  • multisensor system
  • multitarget tracking
  • mutual support degree
  • nested iterative method
  • network flow theory
  • networked systems
  • non-rigid feature matching
  • nonlinear system
  • novel belief entropy
  • object classification
  • observable degree analysis
  • open world
  • optimal estimate
  • Orientation
  • orthogonal redundant inertial measurement units
  • out-of-sequence
  • packet dropouts
  • parameter learning
  • particle swarm optimization
  • Pignistic vector angle
  • plane matching
  • pose estimation
  • powered two wheels (PTW)
  • precision landing
  • predictive modeling techniques
  • principal component analysis
  • projection
  • quaternion
  • random delays
  • random finite set
  • random parameter matrices
  • RFS
  • RTS smoother
  • safe trajectory
  • security zones
  • self-reporting
  • sematic segmentation
  • sensor array
  • sensor data fusion
  • sensor data fusion algorithm
  • sensor fusing
  • sensor fusion
  • sensor system
  • sensors bias
  • signal feature extraction methods
  • similarity measure
  • SINS/DVL integrated navigation
  • SLAM
  • soft sensor
  • sonar network
  • spatiotemporal feature learning
  • spectral clustering
  • square root
  • square-root cubature Kalman filter
  • state estimation
  • state probability approximation
  • Steffensen’s iterative method
  • subspace alignment
  • supervoxel
  • Surface measurement
  • surface modelling
  • surface quality control
  • target positioning
  • the Range-Point-Range frame
  • the Range-Range-Range frame
  • time-distributed ConvLSTM model
  • time-domain data fusion
  • trajectory reconstruction
  • transfer
  • uncertainty
  • uncertainty measure
  • unknown inputs
  • unmanned aerial vehicle
  • unscented information filter
  • user experience evaluation
  • user experience measurement
  • user experience platform
  • vehicle-to-everything
  • vehicular localization
  • Vibration
  • weight maps
  • weighted fusion estimation
  • Workload
  • yaw estimation

Links

DOI: 10.3390/books978-3-03928-303-3

Editions

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