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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.

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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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