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Multi-Sensor Information Fusion

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, esti...

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Bibliographic Details
Main Author:	Gao, Yuan
Other Authors:	Jin, Xue-Bo
Format:	eBook
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:	Data Fusion Architectures Multi-sensor Information Fusion Domain Adaption User Experience Evaluation Augmented State Kalman Filtering (askf) Sonar Network Bar-shalom Campo Network Flow Theory Fuzzy Neural Network Industry 4.0 Workload Quaternion Belief Functions Belief Entropy Dempster-shafer Evidence Theory (dst) Unmanned Aerial Vehicle Optimal Estimate High-dimensional Fusion Data (hfd) Manifold Dual Gating Galvanic Skin Response Data Fusion Mix-method Approach Deep Learning Adaptive Distance Function User Experience Measurement Vehicular Localization Security Zones Acoustic Emission Multirotor Uav Uncertainty Facial Expression Artificial Marker Open World Hellinger Distance Plane Matching Image Registration Multi-sensor System Sensors Bias Orthogonal Redundant Inertial Measurement Units Attitude Multisensor System Rts Smoother Interference Suppression Multi-sensor Time Series Square Root Intelligent And Connected Vehicles State Estimation Convergence Condition Networked Systems Drift Compensation Pignistic Vector Angle Sensor Array Packet Dropouts Dynamic Optimization Image Fusion Powered Two Wheels (ptw) Health Reliability Degree Land Vehicle Sensor Fusion Slam Multi-sensor Joint Calibration Vibration State Probability Approximation Random Finite Set Pose Estimation Observable Degree Analysis Eye-tracking Decision-level Sensor Fusion Gaussian Density Peak Clustering Inconsistent Data Kalman Filter Electronic Nose Aircraft Pilot Fault Diagnosis Gradient Domain Low-cost Sensors Soft Sensor Random Parameter Matrices Evidential Reasoning Spatiotemporal Feature Learning Yaw Estimation Health Management Decision Grey Group Decision-making Global Information Conflict Measurement Gaussian Mixture Probability Hypothesis Density Signal Feature Extraction Methods Nonlinear System Projection Cutting Forces Predictive Modeling Techniques Spectral Clustering Dos Attack Machine Health Monitoring Gaussian Mixture Model (gmm) Sensor Fusing Surface Modelling Camera Conflicting Evidence Coefficient Of Determination Maximization Strategy Weighted Fusion Estimation Unscented Information Filter The Range-point-range Frame Data Association Particle Swarm Optimization Vehicle-to-everything Industrial Cyber-physical System (icps) A* Search Algorithm Internet Of Things (iot) Feature Representations Unknown Inputs Fire Source Localization Multi-source Data Fusion Dempster–shafer Evidence Theory Multi-target Tracking Square-root Cubature Kalman Filter Sematic Segmentation Sensor Data Fusion Algorithm Distributed Intelligence System Covariance Projection Method Deng Entropy Calibration Transfer Distributed Fusion Object Classification Covariance Matrix Linear Regression Orientation Multi-sensor Data Fusion Surface Quality Control Weight Maps Non-rigid Feature Matching Precision Landing Mutual Support Degree Intelligent Transport System Embedded Systems Complex Surface Measurement Icp Gaussian Process Similarity Measure Gaussian Process Model Self-reporting Data Registration Closed World Maintenance Decision Nested Iterative Method Out-of-sequence Magnetic Angular Rate And Gravity (marg) Sensor Surface Measurement Principal Component Analysis Least-squares Smoothing Data Classification Hybrid Adaptive Filtering Trajectory Reconstruction Multitarget Tracking Expectation Maximization (em) Algorithm Mems Accelerometer And Gyroscope Supervoxel Uncertainty Measure Fixed-point Filter Integer Programming Most Suitable Parameter Form Sins/dvl Integrated Navigation Subspace Alignment Multi-sensor Measurement Multisensor Data Fusion Eeg Local Structure Descriptor Multi-sensor Network Gmphd Time-distributed Convlstm Model Mimicry Security Switch Strategy Gaussian Process Regression Linear Constraints The Range-range-range Frame High-definition Map Extended Kalman Filter Lidar Information Filter Sensor System Bayesian Reasoning Method Steffensen’s Iterative Method Target Positioning Estimation User Experience Platform Multi-focus Dempster–shafer Evidence Theory (dst) Novel Belief Entropy Time-domain Data Fusion Safe Trajectory Extended Belief Entropy Data Preprocessing Random Delays Rfs Gaussian Mixture Model Multi-environments Distributed Architecture Information Fusion Alumina Concentration Interaction Tracker Attitude Estimation Cardiac Pet Human Activity Recognition (har) Fast Guided Filter. Parameter Learning Least-squares Filtering Evidence Combination Sensor Data Fusion
Online Access:	https://directory.doabooks.org/handle/20.500.12854...
Collection:	Directory of Open Access Books - Collection details see MPG.ReNa

Description
Summary:	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.
Item Description:	Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
Physical Description:	1 electronic resource (602 p.)
ISBN:	9783039283026 9783039283033 books978-3-03928-303-3

Multi-Sensor Information Fusion

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