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Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems

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Book Series: Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie ISSN: 21906629 ISBN: 9783731500735 Year: Volume: 8 Pages: VIII, 238 p. DOI: 10.5445/KSP/1000035932 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:58
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In order to develop a driver assistance system for pedestrian protection, pedestrians in the environment of a truck are detected by radars and a camera and are tracked across distributed fields of view using a Joint Integrated Probabilistic Data Association filter. A robust approach for prediction of the system vehicles trajectory is presented. It serves the computation of a probabilistic collision risk based on reachable sets where different sources of uncertainty are taken into account.

Directional Estimation for Robotic Beating Heart Surgery

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Book Series: Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory ISSN: 18673813 ISBN: 9783731503828 Year: Volume: 17 Pages: XIV, 241 p. DOI: 10.5445/KSP/1000047040 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:59
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In robotic beating heart surgery, a remote-controlled robot can be used to carry out the operation while automatically canceling out the heart motion. The surgeon controlling the robot is shown a stabilized view of the heart. First, we consider the use of directional statistics for estimation of the phase of the heartbeat. Second, we deal with reconstruction of a moving and deformable surface. Third, we address the question of obtaining a stabilized image of the heart.

Deterministic Sampling for Nonlinear Dynamic State Estimation

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Book Series: Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory ISSN: 18673813 ISBN: 9783731504733 Year: Volume: 18 Pages: XVI, 167 p. DOI: 10.5445/KSP/1000051670 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:02:00
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The goal of this work is improving existing and suggesting novel filtering algorithms for nonlinear dynamic state estimation. Nonlinearity is considered in two ways: First, propagation is improved by proposing novel methods for approximating continuous probability distributions by discrete distributions defined on the same continuous domain. Second, nonlinear underlying domains are considered by proposing novel filters that inherently take the underlying geometry of these domains into account.

Multi-Sensor Information Fusion

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ISBN: 9783039283026 9783039283033 Year: Pages: 602 DOI: 10.3390/books978-3-03928-303-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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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.

Keywords

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

Signal Processing and Analysis of Electrical Circuit

Authors: --- ---
ISBN: 9783039282944 9783039282951 Year: Pages: 604 DOI: 10.3390/books978-3-03928-295-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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This Special Issue with 35 published articles shows the significance of the topic “Signal Processing and Analysis of Electrical Circuit”. This topic has been gaining increasing attention in recent times. The presented articles can be categorized into four different areas: signal processing and analysis methods of electrical circuits; electrical measurement technology; applications of signal processing of electrical equipment; fault diagnosis of electrical circuits. It is a fact that the development of electrical systems, signal processing methods, and circuits has been accelerating. Electronics applications related to electrical circuits and signal processing methods have gained noticeable attention in recent times. The methods of signal processing and electrical circuits are widely used by engineers and scientists all over the world. The constituent papers represent a significant contribution to electronics and present applications that can be used in industry. Further improvements to the presented approaches are required for realizing their full potential.

Keywords

VMD --- signal analysis --- ICEEMD --- IMF --- random noise --- attenuation --- commutator motor --- fault diagnosis --- method --- technique --- signal processing --- acoustic --- Inner and outer product --- tensor --- FPGA --- hardware --- direct digital synthesizer (DDS) --- frequency tuning word (FTW) --- stability --- accuracy --- demodulation --- phase-locked loop --- Chebyshev filter --- measurement noise suppression --- class AB operation --- CMOS --- current mirror --- current buffer --- quasi floating gate --- low power --- CMOS --- dynamic comparator --- offset calibration --- high speed --- low noise --- low power --- ADC --- all-pass filter --- CMOS --- time delay --- broadband --- true-time-delay --- electrochemical impedance spectroscopy --- FRA --- multichannel acquisition --- impedance spectrometry --- microcontroller --- intelligent vehicles --- LiDAR odometry --- range sensing --- simultaneous localization and mapping (SLAM) --- tilt sensor --- sensor data fusion --- complementary filters --- overlap-add processing --- spectral analysis --- variational mode decomposition (VMD) --- duffing chaotic oscillator (DCO) --- permutation entropy (PE) --- feature extraction --- frequency characteristic --- underwater acoustic signal --- ship-radiated noise --- PM/PWM --- capacitance-to-time conversion --- differential capacitive sensor --- brick-wall filter --- fuzzy logic --- induction motor --- Shannon entropy --- short-circuit fault --- APF --- CNFET --- pole-frequency --- chirality --- phase angle --- tuning --- DC–DC converter --- switched capacitor --- power management integrated circuit --- CMOS technology --- frequency standard comparator --- dual Mixing Time difference --- phase difference --- correlation function --- chebyshev polynomial --- compressed sensing --- estimated sparsity --- least squares solution --- stochastic gradient --- reconstruction probability --- direct position determination --- array signal processing --- Doppler shifts --- matrix eigen-perturbation theory --- system errors --- Cramér–Rao bound --- differential power analysis (DPA), SIMON --- fault injection --- double rate --- power randomization --- intention of movement classification --- EMG-Signals --- Support Vector Machines --- asynchronous --- delay cell --- passive resistor --- SAR ADC --- loop delay circuit --- Resistance-to-Period converter --- robust read-out circuits --- ratiometric technique --- Fresnel lens --- wingbeat --- insects --- optoelectronics --- bees --- wasps --- fruit flies --- e-traps --- analog-to-digital converter --- successive approximation register --- direct sampling --- time-interleaved --- channel-selection-embedded bootstrap --- segmented pre-quantization and bypass --- LVDS --- high-speed serial interface --- transmitter --- receiver --- low-power --- image fusion --- multi-sensor fusion --- night vision --- hierarchical heterogeneous multi-DAG workflow --- multigroup scan --- ultrasonic phased array --- heterogeneous earliest finish time --- resolver --- discrete wavelet transform --- singular value decomposition --- automatic calibration --- noise reduction --- ripple voltage measurement --- DAC --- comparator --- peak-ripple estimation --- binary search --- low-cost --- secret image sharing --- digital image --- n-out-of-n scheme --- color palette --- colluder attack --- image restoration --- impulse noise --- ADMM --- HOCTVL1 --- spatially adapted regularization parameter --- rod electrode --- electrostatic induction --- method of images --- induced charge --- induced current --- 3D-IC design --- NILT --- TSV noise coupling --- RDL --- chain matrix --- interconnect line --- n/a

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