Multi-Sensor Information Fusion

Gao, Yuan; Jin, Xue-Bo

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

dc.contributor.author	Gao, Yuan	*
dc.contributor.author	Jin, Xue-Bo	*
dc.date.accessioned	2021-02-11T20:18:31Z
dc.date.available	2021-02-11T20:18:31Z
dc.date.issued	2020	*
dc.date.submitted	2020-04-07 23:07:09	*
dc.identifier	44844	*
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/54050
dc.description.abstract	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.	*
dc.language	English	*
dc.subject	TA1-2040	*
dc.subject	T1-995	*
dc.subject.classification	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology	en_US
dc.subject.other	similarity measure	*
dc.subject.other	information filter	*
dc.subject.other	out-of-sequence	*
dc.subject.other	Hellinger distance	*
dc.subject.other	coefficient of determination maximization strategy	*
dc.subject.other	uncertainty measure	*
dc.subject.other	embedded systems	*
dc.subject.other	Internet of things (IoT)	*
dc.subject.other	random delays	*
dc.subject.other	adaptive distance function	*
dc.subject.other	random finite set	*
dc.subject.other	Dempster–Shafer evidence theory (DST)	*
dc.subject.other	safe trajectory	*
dc.subject.other	health reliability degree	*
dc.subject.other	dynamic optimization	*
dc.subject.other	state probability approximation	*
dc.subject.other	sensors bias	*
dc.subject.other	multi-environments	*
dc.subject.other	belief entropy	*
dc.subject.other	quaternion	*
dc.subject.other	closed world	*
dc.subject.other	Gaussian process regression	*
dc.subject.other	Gaussian mixture model (GMM)	*
dc.subject.other	intelligent transport system	*
dc.subject.other	multirotor UAV	*
dc.subject.other	multi-sensor system	*
dc.subject.other	attitude	*
dc.subject.other	time-domain data fusion	*
dc.subject.other	precision landing	*
dc.subject.other	Industry 4.0	*
dc.subject.other	magnetic angular rate and gravity (MARG) sensor	*
dc.subject.other	uncertainty	*
dc.subject.other	unscented information filter	*
dc.subject.other	data classification	*
dc.subject.other	high-definition map	*
dc.subject.other	global information	*
dc.subject.other	inconsistent data	*
dc.subject.other	extended belief entropy	*
dc.subject.other	sensor system	*
dc.subject.other	Steffensen’s iterative method	*
dc.subject.other	SLAM	*
dc.subject.other	the Range-Range-Range frame	*
dc.subject.other	evidential reasoning	*
dc.subject.other	belief functions	*
dc.subject.other	powered two wheels (PTW)	*
dc.subject.other	electronic nose	*
dc.subject.other	particle swarm optimization	*
dc.subject.other	grey group decision-making	*
dc.subject.other	user experience platform	*
dc.subject.other	complex surface measurement	*
dc.subject.other	DoS attack	*
dc.subject.other	extended Kalman filter	*
dc.subject.other	ICP	*
dc.subject.other	Gaussian density peak clustering	*
dc.subject.other	artificial marker	*
dc.subject.other	random parameter matrices	*
dc.subject.other	optimal estimate	*
dc.subject.other	local structure descriptor	*
dc.subject.other	object classification	*
dc.subject.other	domain adaption	*
dc.subject.other	networked systems	*
dc.subject.other	expectation maximization (EM) algorithm	*
dc.subject.other	attitude estimation	*
dc.subject.other	Gaussian process model	*
dc.subject.other	least-squares smoothing	*
dc.subject.other	target positioning	*
dc.subject.other	RFS	*
dc.subject.other	spectral clustering	*
dc.subject.other	maintenance decision	*
dc.subject.other	multi-target tracking	*
dc.subject.other	GMPHD	*
dc.subject.other	time-distributed ConvLSTM model	*
dc.subject.other	non-rigid feature matching	*
dc.subject.other	unknown inputs	*
dc.subject.other	cardiac PET	*
dc.subject.other	subspace alignment	*
dc.subject.other	gradient domain	*
dc.subject.other	multi-sensor measurement	*
dc.subject.other	data fusion	*
dc.subject.other	Bar-Shalom Campo	*
dc.subject.other	Kalman filter	*
dc.subject.other	signal feature extraction methods	*
dc.subject.other	sensor data fusion algorithm	*
dc.subject.other	distributed architecture	*
dc.subject.other	predictive modeling techniques	*
dc.subject.other	Gaussian mixture model	*
dc.subject.other	self-reporting	*
dc.subject.other	deep learning	*
dc.subject.other	mutual support degree	*
dc.subject.other	security zones	*
dc.subject.other	sensor array	*
dc.subject.other	soft sensor	*
dc.subject.other	aircraft pilot	*
dc.subject.other	projection	*
dc.subject.other	vehicle-to-everything	*
dc.subject.other	distributed intelligence system	*
dc.subject.other	square-root cubature Kalman filter	*
dc.subject.other	information fusion	*
dc.subject.other	evidence combination	*
dc.subject.other	LiDAR	*
dc.subject.other	feature representations	*
dc.subject.other	multi-sensor information fusion	*
dc.subject.other	linear constraints	*
dc.subject.other	galvanic skin response	*
dc.subject.other	decision-level sensor fusion	*
dc.subject.other	most suitable parameter form	*
dc.subject.other	Pignistic vector angle	*
dc.subject.other	SINS/DVL integrated navigation	*
dc.subject.other	fault diagnosis	*
dc.subject.other	facial expression	*
dc.subject.other	yaw estimation	*
dc.subject.other	dual gating	*
dc.subject.other	multi-sensor data fusion	*
dc.subject.other	multisensor system	*
dc.subject.other	A* search algorithm	*
dc.subject.other	data fusion architectures	*
dc.subject.other	drift compensation	*
dc.subject.other	augmented state Kalman filtering (ASKF)	*
dc.subject.other	manifold	*
dc.subject.other	nested iterative method	*
dc.subject.other	data preprocessing	*
dc.subject.other	interference suppression	*
dc.subject.other	conflicting evidence	*
dc.subject.other	sonar network	*
dc.subject.other	Gaussian process	*
dc.subject.other	health management decision	*
dc.subject.other	state estimation	*
dc.subject.other	eye-tracking	*
dc.subject.other	high-dimensional fusion data (HFD)	*
dc.subject.other	MEMS accelerometer and gyroscope	*
dc.subject.other	multitarget tracking	*
dc.subject.other	gaussian mixture probability hypothesis density	*
dc.subject.other	integer programming	*
dc.subject.other	image registration	*
dc.subject.other	Dempster–Shafer evidence theory	*
dc.subject.other	linear regression	*
dc.subject.other	data association	*
dc.subject.other	nonlinear system	*
dc.subject.other	covariance matrix	*
dc.subject.other	multi-source data fusion	*
dc.subject.other	fuzzy neural network	*
dc.subject.other	least-squares filtering	*
dc.subject.other	fire source localization	*
dc.subject.other	network flow theory	*
dc.subject.other	weight maps	*
dc.subject.other	camera	*
dc.subject.other	plane matching	*
dc.subject.other	calibration	*
dc.subject.other	unmanned aerial vehicle	*
dc.subject.other	fixed-point filter	*
dc.subject.other	workload	*
dc.subject.other	intelligent and connected vehicles	*
dc.subject.other	mimicry security switch strategy	*
dc.subject.other	alumina concentration	*
dc.subject.other	the Range-Point-Range frame	*
dc.subject.other	spatiotemporal feature learning	*
dc.subject.other	distributed fusion	*
dc.subject.other	user experience evaluation	*
dc.subject.other	image fusion	*
dc.subject.other	vehicular localization	*
dc.subject.other	sensor fusion	*
dc.subject.other	vibration	*
dc.subject.other	parameter learning	*
dc.subject.other	weighted fusion estimation	*
dc.subject.other	data registration	*
dc.subject.other	pose estimation	*
dc.subject.other	surface quality control	*
dc.subject.other	trajectory reconstruction	*
dc.subject.other	land vehicle	*
dc.subject.other	square root	*
dc.subject.other	Deng entropy	*
dc.subject.other	multi-focus	*
dc.subject.other	EEG	*
dc.subject.other	low-cost sensors	*
dc.subject.other	sensor fusing	*
dc.subject.other	sensor data fusion	*
dc.subject.other	packet dropouts	*
dc.subject.other	estimation	*
dc.subject.other	industrial cyber-physical system (ICPS)	*
dc.subject.other	multi-sensor time series	*
dc.subject.other	multi-sensor network	*
dc.subject.other	Human Activity Recognition (HAR)	*
dc.subject.other	transfer	*
dc.subject.other	multisensor data fusion	*
dc.subject.other	convergence condition	*
dc.subject.other	interaction tracker	*
dc.subject.other	acoustic emission	*
dc.subject.other	Covariance Projection method	*
dc.subject.other	mix-method approach	*
dc.subject.other	orthogonal redundant inertial measurement units	*
dc.subject.other	sematic segmentation	*
dc.subject.other	Surface measurement	*
dc.subject.other	conflict measurement	*
dc.subject.other	user experience measurement	*
dc.subject.other	observable degree analysis	*
dc.subject.other	open world	*
dc.subject.other	novel belief entropy	*
dc.subject.other	cutting forces	*
dc.subject.other	machine health monitoring	*
dc.subject.other	Bayesian reasoning method	*
dc.subject.other	orientation	*
dc.subject.other	surface modelling	*
dc.subject.other	hybrid adaptive filtering	*
dc.subject.other	supervoxel	*
dc.subject.other	RTS smoother	*
dc.subject.other	Dempster-Shafer evidence theory (DST)	*
dc.subject.other	fast guided filter.	*
dc.subject.other	multi-sensor joint calibration	*
dc.subject.other	principal component analysis	*
dc.title	Multi-Sensor Information Fusion	*
dc.type	book
oapen.identifier.doi	10.3390/books978-3-03928-303-3	*
oapen.relation.isPublishedBy	46cabcaa-dd94-4bfe-87b4-55023c1b36d0	*
oapen.relation.isbn	9783039283033	*
oapen.relation.isbn	9783039283026	*
oapen.pages	602	*
oapen.edition	1st	*

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