Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement
| Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement |
| Autore | Kobayashi Hirokazu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (570 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
2-D PPS
3-D deformation adaptive reduced method aircraft surveillance altitude measurement accuracy analytical approach antenna array atomic norm automatic guided vehicle Bayesian inversion bistatic inverse synthetic aperture radar bistatic MIMO radar block coherence measure block sparse Bayesian learning CLEAN technique clustering methods clutter reduction clutter suppression coherent integration coherent pulse trains comprehensive SAR conductivity constant modulus sequences constitutive parameters contrast target detection correlation properties Cramer-Rao lower bound critical height crosshole ground penetrating radar (GPR) curved orbit deception jamming dechirping denoising detection deramping-based approach differential SAR tomography dilation morphology direct position determination discrete cosine transform (DCT) discrete scatterer model DOA estimation DoA/DoD estimation DOD/DOA estimation Doppler Doppler rate doppler tolerance double negative dual-band dual-polarized radar electromagnetic wave attribute energy spectrum method entropy thresholding FMCW radio altimeter forward model fractional Fourier transform (FRFT) frequency shifting modulation generative adversarial nets generator and discriminator GPR guided filter height pulses high reliability high switching speed hyperbolic tangent function image fusion image processing integral cubic phase function (ICPF) interrupted sampling interrupted transmitting and receiving (ITR) inverse synthetic aperture ladar (ISAL) inverse synthetic aperture radar (ISAR) ISAR K-L transform least square error linear geometry distortion local correlation local gradient method low control voltage low-rank approximation lunar penetrating radar man-made targets maneuvering target maneuvering target detection marine radar maritime traffic monitoring Markov chain Monte Carlo (MCMC) maximum likelihood estimator metamaterial absorber methodological error micro-Doppler micro-motion feature extraction microwave imaging MIMO radar modeling error motion parameter estimation multiparametric SAR observation multipath ghost suppression mutual coupling n/a narrowband interference separation non-uniform fast Fourier transform (NUFFT) non-uniform grid off-grid sparse problem orthogonal matching pursuit parameter estimation passive bistatic radar PBR (passive bistatic radar) permittivity phased array radar polarimetric decomposition prior information pulse radar radar echo cancellation radar jamming radon transform relative water content remote sensing RF MEMS rotating target S-transformation saliency detection saliency preprocessing LLC SAR scene classification seasonal permafrost second-order phase difference (SoPD) seislet transform sensing matrix optimization series reversion simultaneous polarimetric radar single moving sensor singular value decomposition (SVD) small wind streak SNR spaceborne sparse recovery sparse representation speckle noise filtering squinted SAR subspace extraction switch synchrosqueezing synthetic aperture radar synthetic aperture radar (SAR) Synthetic Aperture Radar (SAR) through-wall imaging through-wall radar imaging time-frequency analysis tomography ultra-wide frequency deviation ultrahigh resolution unmanned aerial vehicle wake detection and analysis wideband noise interference wind direction retrieval |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557305803321 |
Kobayashi Hirokazu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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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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