Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) / John Ball, Bo Tang
| Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) / John Ball, Bo Tang |
| Autore | Ball John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (344 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
FPGA
recurrence plot (RP) residual learning neural networks driver monitoring navigation depthwise separable convolution optimization dynamic path-planning algorithms object tracking sub-region cooperative systems convolutional neural networks DSRC VANET joystick road scene convolutional neural network (CNN) multi-sensor p-norm occlusion crash injury severity prediction deep leaning squeeze-and-excitation electric vehicles perception in challenging conditions T-S fuzzy neural network total vehicle mass of the front vehicle electrocardiogram (ECG) communications generative adversarial nets camera adaptive classifier updating Vehicle-to-X communications convolutional neural network predictive Geobroadcast infinity norm urban object detector machine learning automated-manual transition red light-running behaviors photoplethysmogram (PPG) panoramic image dataset parallel architectures visual tracking autopilot ADAS kinematic control GPU road lane detection obstacle detection and classification Gabor convolution kernel autonomous vehicle Intelligent Transport Systems driving decision-making model Gaussian kernel autonomous vehicles enhanced learning ethical and legal factors kernel based MIL algorithm image inpainting fusion terrestrial vehicle driverless drowsiness detection map generation object detection interface machine vision driving assistance blind spot detection deep learning relative speed autonomous driving assistance system discriminative correlation filter bank recurrent neural network emergency decisions LiDAR real-time object detection vehicle dynamics path planning actuation systems maneuver algorithm autonomous driving smart band the emergency situations two-wheeled support vector machine model global region biological vision automated driving |
| ISBN |
9783039213764
3039213768 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367757403321 |
Ball John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Nondestructive Testing in Composite Materials
| Nondestructive Testing in Composite Materials |
| Autore | Meola Carosena |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (174 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive threshold
aluminum alloy wheel basalt fibers chaotic behavior composite damage composite laminate composites cross-ply fiber reinforced composite damage assessment Damage Index debonding defect defect detection defect localization delamination diffuse ultrasonic waves discrete defects electromagnetic detection electromechanical impedance FEM simulation Finite Element Method frescoed surfaces historical masonry building image enhancement impact damage impact hammer test infrared thermography testing Lamb wave laser ultrasonic imaging lock-in thermography magnetic flux density morphological reconstruction n/a non-destructive damage detection non-destructive inspection non-destructive test non-destructive testing evaluation non-destructive tests nondestructive testing nondestructive testing (NDT) optical detection Passive Magnetic Inspection (PMI) phased array ultrasonic piezoelectric plaster detachment polyamide polypropylene probability paper method rebar recurrence plot (RP) recurrence quantification analysis (RQA) reinforce concrete residual properties review self-magnetic behavior signal sensitivity statistical results steel wire ropes thick multilayer composites ultrasonic guided wave ultrasonic pulse echo ultrasonic testing X-ray |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557301203321 |
Meola Carosena
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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