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Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

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ISBN: 9783039213757 9783039213764 Year: Pages: 344 DOI: 10.3390/books978-3-03921-376-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR

Keywords

Vehicle-to-X communications --- Intelligent Transport Systems --- VANET --- DSRC --- Geobroadcast --- multi-sensor --- fusion --- deep learning --- LiDAR --- camera --- ADAS --- object tracking --- kernel based MIL algorithm --- Gaussian kernel --- adaptive classifier updating --- perception in challenging conditions --- obstacle detection and classification --- dynamic path-planning algorithms --- joystick --- two-wheeled --- terrestrial vehicle --- path planning --- infinity norm --- p-norm --- kinematic control --- navigation --- actuation systems --- maneuver algorithm --- automated driving --- cooperative systems --- communications --- interface --- automated-manual transition --- driver monitoring --- visual tracking --- discriminative correlation filter bank --- occlusion --- sub-region --- global region --- autonomous vehicles --- driving decision-making model --- the emergency situations --- red light-running behaviors --- ethical and legal factors --- T-S fuzzy neural network --- road lane detection --- map generation --- driving assistance --- autonomous driving --- real-time object detection --- autonomous driving assistance system --- urban object detector --- convolutional neural networks --- machine vision --- biological vision --- deep learning --- convolutional neural network --- Gabor convolution kernel --- recurrent neural network --- enhanced learning --- autonomous vehicle --- crash injury severity prediction --- support vector machine model --- emergency decisions --- relative speed --- total vehicle mass of the front vehicle --- perception in challenging conditions --- obstacle detection and classification --- dynamic path-planning algorithms --- drowsiness detection --- smart band --- electrocardiogram (ECG) --- photoplethysmogram (PPG) --- recurrence plot (RP) --- convolutional neural network (CNN) --- squeeze-and-excitation --- residual learning --- depthwise separable convolution --- blind spot detection --- machine learning --- neural networks --- predictive --- vehicle dynamics --- electric vehicles --- FPGA --- GPU --- parallel architectures --- optimization --- panoramic image dataset --- road scene --- object detection --- deep learning --- convolutional neural network --- driverless --- autopilot --- deep leaning --- object detection --- generative adversarial nets --- image inpainting --- n/a

Deep Learning Applications with Practical Measured Results in Electronics Industries

Authors: --- --- ---
ISBN: 9783039288632 / 9783039288649 Year: Pages: 272 DOI: 10.3390/books978-3-03928-864-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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This book collects 14 articles from the Special Issue entitled “Deep Learning Applications with Practical Measured Results in Electronics Industries” of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial vehicle (UAV) and object tracking applications, (3) measurement and denoising techniques, and (4) recommendation systems and education systems. These authors used and improved deep learning techniques (e.g., ResNet (deep residual network), Faster-RCNN (faster regions with convolutional neural network), LSTM (long short term memory), ConvLSTM (convolutional LSTM), GAN (generative adversarial network), etc.) to analyze and denoise measured data in a variety of applications and services (e.g., wind speed prediction, air quality prediction, underground mine applications, neural audio caption, etc.). Several practical experiments were conducted, and the results indicate that the performance of the presented deep learning methods is improved compared with the performance of conventional machine learning methods.

Keywords

computational intelligence --- offshore wind --- forecasting --- machine learning --- neural networks --- neuro-fuzzy systems --- humidity sensor --- data fusion --- nonlinear optimization --- multiple linear regression --- GSA-BP --- geometric errors correction --- kinematic modelling --- lateral stage errors --- Imaging Confocal Microscope --- K-means clustering --- data partition --- Least Squares method --- deep learning --- multivariate time series forecasting --- multivariate temporal convolutional network --- CNN --- hyperspectral image classification --- information measure --- transfer learning --- neighborhood noise reduction --- visual tracking --- update occasion --- update mechanism --- background model --- network layer contribution --- saliency information --- geometric errors --- rigid body kinematics --- lateral stage errors --- imaging confocal microscope --- MCM uncertainty evaluation --- dot grid target --- smart grid --- foreign object --- binary classification --- convolutional network --- image inpainting --- content reconstruction --- instance segmentation --- underground mines --- intelligent surveillance --- residual networks --- compressed sensing --- image compression --- image restoration --- discrete wavelet transform --- intelligent tire manufacturing --- digital shearography --- faster region-based CNN --- tire bubble defects --- tire quality assessment --- unmanned aerial vehicle --- UAV --- trajectory planning --- GA --- A* --- multiple constraints --- recommender system --- human computer interaction --- eye-tracking device --- deep learning --- oral evaluation --- generative adversarial network --- neural audio caption --- gated recurrent unit --- long short-term memory --- deep learning --- machine learning --- supervised learning --- unsupervised learning --- reinforcement learning --- optimization techniques

Visual Sensors

Authors: ---
ISBN: 9783039283385 9783039283392 Year: Pages: 738 DOI: 10.3390/books978-3-03928-339-2 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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Visual sensors are able to capture a large quantity of information from the environment around them. A wide variety of visual systems can be found, from the classical monocular systems to omnidirectional, RGB-D, and more sophisticated 3D systems. Every configuration presents some specific characteristics that make them useful for solving different problems. Their range of applications is wide and varied, including robotics, industry, agriculture, quality control, visual inspection, surveillance, autonomous driving, and navigation aid systems. In this book, several problems that employ visual sensors are presented. Among them, we highlight visual SLAM, image retrieval, manipulation, calibration, object recognition, navigation, etc.

Keywords

3D reconstruction --- RGB-D sensor --- non-rigid reconstruction --- pedestrian detection --- boosted decision tree --- scale invariance --- receptive field correspondence --- soft decision tree --- single-shot 3D shape measurement --- digital image correlation --- warp function --- inverse compositional Gauss-Newton algorithm --- UAV image --- dynamic programming --- seam-line --- optical flow --- image mosaic --- iris recognition --- presentation attack detection --- convolutional neural network --- support vector machines --- content-based image retrieval --- textile retrieval --- textile localization --- texture retrieval --- texture description --- visual sensors --- iris recognition --- iris segmentation --- semantic segmentation --- convolutional neural network (CNN) --- visible light and near-infrared light camera sensors --- laser sensor --- line scan camera --- lane marking detection --- support vector machine (SVM) --- image binarization --- lane marking reconstruction --- automated design --- vision system --- FOV --- illumination --- recognition algorithm --- action localization --- action segmentation --- 3D ConvNets --- LSTM --- visual sensors --- image retrieval --- hybrid histogram descriptor --- perceptually uniform histogram --- motif co-occurrence histogram --- omnidirectional imaging --- visual localization --- catadioptric sensor --- visual information fusion --- image processing --- underwater imaging --- embedded systems --- stereo vision --- visual odometry --- 3D reconstruction --- handshape recognition --- sign language --- finger alphabet --- skeletal data --- visual odometry --- ego-motion estimation --- stereo --- RGB-D --- mobile robots --- around view monitor (AVM) system --- automatic calibration --- lane marking --- parking assist system --- advanced driver assistance system (ADAS) --- pose estimation --- symmetry axis --- point cloud --- sweet pepper --- semantic mapping --- RGB-D SLAM --- visual mapping --- indoor visual SLAM --- adaptive model --- motion estimation --- stereo camera --- person re-identification --- end-to-end architecture --- appearance-temporal features --- Siamese network --- pivotal frames --- visual tracking --- correlation filters --- motion-aware --- adaptive update strategy --- confidence response map --- camera calibration --- Gray code --- checkerboard --- visual sensor --- image retrieval --- human visual system --- local parallel cross pattern --- pose estimation --- straight wing aircraft --- structure extraction --- consistent line clustering --- parallel line --- planes intersection --- salient region detection --- appearance based model --- regression based model --- human visual attention --- background dictionary --- quality control --- fringe projection profilometry --- depth image registration --- 3D reconstruction --- speed measurement --- stereo-vision --- large field of view --- vibration --- calibration --- CLOSIB --- statistical information of gray-levels differences --- Local Binary Patterns --- texture classification --- texture description --- Visual Sensors --- SLAM --- RGB-D --- indoor environment --- Manhattan frame estimation --- orientation relevance --- spatial transformation --- robotic welding --- seam tracking --- visual detection --- narrow butt joint --- GTAW --- LRF --- camera calibration --- extrinsic calibration --- sensors combination --- geometric moments --- camera pose --- rotation-angle --- measurement error --- robotics --- robot manipulation --- depth vision --- star image prediction --- star sensor --- Richardson-Lucy algorithm --- neural network --- tightly-coupled VIO --- SLAM --- fused point and line feature matching --- pose estimates --- simplified initialization strategy --- patrol robot --- map representation --- vision-guided robotic grasping --- object recognition --- pose estimation --- global feature descriptor --- iterative closest point --- n/a

New types of Neutrosophic Set/Logic/Probability, Neutrosophic Over-/Under-/Off-Set, Neutrosophic Refined Set, and their Extension to Plithogenic Set/Logic/Probability, with Applications

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ISBN: 9783039219384 9783039219391 Year: Pages: 714 DOI: 10.3390/books978-3-03921-939-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:39:37
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This book contains 37 papers by 73 renowned experts from 13 countries around the world, on following topics: neutrosophic set; neutrosophic rings; neutrosophic quadruple rings; idempotents; neutrosophic extended triplet group; hypergroup; semihypergroup; neutrosophic extended triplet group; neutrosophic extended triplet semihypergroup and hypergroup; neutrosophic offset; uninorm; neutrosophic offuninorm and offnorm; neutrosophic offconorm; implicator; prospector; n-person cooperative game; ordinary single-valued neutrosophic (co)topology; ordinary single-valued neutrosophic subspace; ?-level; ordinary single-valued neutrosophic neighborhood system; ordinary single-valued neutrosophic base and subbase; fuzzy numbers; neutrosophic numbers; neutrosophic symmetric scenarios; performance indicators; financial assets; neutrosophic extended triplet group; neutrosophic quadruple numbers; refined neutrosophic numbers; refined neutrosophic quadruple numbers; multigranulation neutrosophic rough set; nondual; two universes; multiattribute group decision making; nonstandard analysis; extended nonstandard analysis; monad; binad; left monad closed to the right; right monad closed to the left; pierced binad; unpierced binad; nonstandard neutrosophic mobinad set; neutrosophic topology; nonstandard neutrosophic topology; visual tracking; neutrosophic weight; objectness; weighted multiple instance learning; neutrosophic triangular norms; residuated lattices; representable neutrosophic t-norms; De Morgan neutrosophic triples; neutrosophic residual implications; infinitely ?-distributive; probabilistic neutrosophic hesitant fuzzy set; decision-making; Choquet integral; e-marketing; Internet of Things; neutrosophic set; multicriteria decision making techniques; uncertainty modeling; neutrosophic goal programming approach; shale gas water management system.

Keywords

single-valued neutrosophic soft number and its operations --- SVN soft weighted arithmetic averaging operator --- SVN soft weighted geometric averaging operator --- decision-making --- optimization solution --- sampling plan --- producer’s risk’ --- consumer’s risk --- sample size --- decision making --- neutrosophic set --- Q-neutrosophic set --- Q-neutrosophic soft set --- soft set --- Neutrosophic compound orthogonal neural network --- Neutrosophic number --- Neutrosophic function --- Function approximation --- triangular neutrosophic cubic fuzzy number --- Einstein t-norm --- arithmetic averaging operator --- Multi-attribute decision making --- numerical application --- neutrosophic statistical interval method --- classical statistics --- fuzzy logic --- producer’s risk --- consumer’s risk --- neutrosophic cubic weighted geometric operator (NCWG) --- neutrosophic cubic ordered weighted geometric operator (NCOWG) --- neutrosophic cubic Einstein weighted geometric operator (NCEWG) --- neutrosophic cubic Einstein ordered weighted geometric operator (NCEOWG) --- multi-attribute decision making --- single-valued neutrosophic set --- aggregation --- TOPSIS --- single-valued neutrosophic linguistic set --- distance measure --- combined weighted average --- MAGDM --- low-carbon supplier selection --- weighted geometric operator --- weighted average operator --- neutrosophic cubic sets --- multi-attribute decision-making (MADM) --- neutrosophic cubic hybrid weighted arithmetic and geometric aggregation operator (NCHWAGA) --- neutrosophic sets --- cubic sets --- soft sets --- neutrosophic cubic soft sets --- neutrosophic cubic soft expert system --- multicriteria decision-making --- neutrosophic extended triplet group --- generalized neutrosophic extended triplet group --- quasi-completely regular semigroup --- clifford semigroup --- prostate cancer --- neutrosophic statistics --- dietary fat level --- neutrosophic regression --- neutrosophic correlation --- single valued neutrosophic sets --- logarithmic operational laws --- logarithmic aggregation operators --- MCGDM problems --- complex neutrosophic set --- complex neutrosophic soft expert set --- fuzzy parameterized single valued neutrosophic soft expert set --- single valued neutrosophic set --- soft expert set --- decision making --- membership function --- neutrosophic set --- neutrosophic soft rough --- relations --- rough set approximation --- soft set --- neutrosophic time series --- triangular neutrosophic number --- neutrosophic logical relationship --- neutrosophic logical relationship groups --- smart port --- simplified neutrosophic set --- single-valued neutrosophic set --- exponential similarity measure --- port evaluation --- nonstandard analysis --- extended nonstandard analysis --- open and closed monads to the left/right --- pierced and unpierced binads --- MoBiNad set --- infinitesimals --- infinities --- nonstandard reals --- standard reals --- nonstandard neutrosophic lattices of first type (as poset) and second type (as algebraic structure), nonstandard neutrosophic logic --- extended nonstandard neutrosophic logic --- nonstandard arithmetic operations --- nonstandard unit interval --- nonstandard neutrosophic infimum --- nonstandard neutrosophic supremum --- intuitionistic fuzzy parameters --- uncertainty modeling --- neutrosophic goal programming approach --- shale gas water management system --- e-marketing --- Internet of Things --- neutrsophic set --- multi-criteria decision making techniques --- probabilistic neutrosophic hesitant fuzzy set (PNHFS) --- decision-making --- Choquet integral --- neutrosophic extended triplet group --- neutrosophic quadruple numbers --- neutrosophic set --- BNHWA aggregation operator --- BNHOWA aggregation operator --- BNHHA aggregation operator --- score function --- accuracy function --- certainty function --- group decision making --- non-standard analysis --- extended non-standard analysis --- monad --- binad --- left monad closed to the right --- right monad closed to the left --- pierced binad --- unpierced binad --- non-standard neutrosophic mobinad set --- neutrosophic topology --- non-standard neutrosophic topology --- neutrosophic sets --- neutrosophic triangular norms --- residuated lattices --- representable neutrosophic t-norms --- De Morgan neutrosophic triples --- neutrosophic residual implications --- infinitely ?-distributive --- visual tracking --- neutrosophic weight --- objectness --- weighted multiple instance learning --- supply chain sustainability metrics --- plithogeny --- aggregation operations --- neutrosophic set --- quality function deployment --- multi-granulation neutrosophic rough set --- non-dual --- two universes --- multi-attribute group decision making --- neutrosophic extended triplet group --- neutrosophic quadruple numbers --- refined neutrosophic numbers --- refined neutrosophic quadruple numbers --- neutrosophic set --- fuzzy numbers --- neutrosophic numbers --- neutrosophic symmetric scenarios --- performance indicators --- financial assets --- simplified neutrosophic hesitant fuzzy set --- multi-attribute decision-making --- maximizing deviation --- TOPSIS --- single valued neutrosophic set --- covering --- symmetric relation --- graph representation --- matrix representation --- paper defect diagnosis --- ordinary single valued neutrosophic (co)topology --- ordinary single valued neutrosophic subspace --- ?-level --- ordinary single valued neutrosophic neighborhood system --- ordinary single valued neutrosophic base --- ordinary single valued neutrosophic subbase --- neutrosophic offset --- uninorm --- neutrosophic offuninorm --- neutrosophic offnorm --- neutrosophic offconorm --- implicator --- prospector --- n-person cooperative game --- hypergroup --- semihypergroup --- neutrosophic extended triplet group --- neutrosophic extended triplet semihypergroup (NET-semihypergroup) --- NET-hypergroup --- neutrosophic rings --- neutrosophic quadruple rings --- idempotents --- neutrosophic extended triplet group --- neutrosophic set

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