Advances in Automated Driving Systems
| Advances in Automated Driving Systems |
| Autore | Eichberger Arno |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (294 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
acceptance
adaptive control adaptive cruise control ADAS advanced driver assistant systems (ADAS) automated driving automated driving (AD) automated driving systems automation autonomous conflict management autonomous drifting autonomous vehicles calibration method connected and automated vehicle convolutional neural network cooperative perception decomposition deep learning digital twin driver assistance system driver drowsiness driving school driving simulator ECG signal edge cloud expression of trust fault tree analysis framework development ground truth heart rate variability illumination informed machine learning instance segmentation inverse gamma correction ITS lane detection Mask R-CNN model predictive control (MPC) modular safety approval modular testing multi-layer perceptron n/a NASA TLX pedestrian custom dataset physical perception model physics-guided reinforcement learning radar sensor reference measurement safety safety validation scenario-based testing sensor fusion simulation simulation and modeling simulation and modelling simulator case study software framework state prediction successive linearization system usability scale throttle prediction traffic evaluation traffic sign recognition system traffic signs transfer learning U-Space UAV UGV UTM varying road surfaces vehicle dynamics vehicle motion control virtual sensor model virtual test and validation virtual validation wavelet scalogram wheel loaders |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580214003321 |
Eichberger Arno
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Vehicle Control
| Advances in Intelligent Vehicle Control |
| Autore | Cabrera Juan A |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
3D multiple object detection
active air suspension ADAS binary linear programming binary quadratic programming controller area network curriculum learning cybersecurity deep learning discrete-time sliding-mode current control (DSMCC) disturbance observer design double lane change driver vehicle system dynamic SLAM electric vehicle (EV) electric vehicles electrical vehicles energy management environment perception EV charging scheduling GNSS receivers heterogeneous networking heterogeneous vehicular communication high efficiency image processing in-vehicle network inertial sensors intelligent mobility Internet of connected vehicles Internet of Things intrusion detection Kalman filter LQR controller machine learning model-based control motorcycle lean angle multiple object tracking n/a noninverting buck-boost converter nonlinear height control output constraints random road excitation reinforcement learning roll angle estimator RTK corrections safety optimization semantics sensor redundancy sim-to-real world transfer learning tyre thermodynamics tyre wear vehicle control vehicle dynamic potential vehicle localization vehicle safety vehicular ad hoc networks VMS weather influence wide bandwidth control |
| ISBN | 3-0365-6010-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637781703321 |
Cabrera Juan A
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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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Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact
| Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact |
| Autore | Farroni Flavio |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (346 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
acceleration speed portraits
actuator dynamics ADAS adhesion enhancement analytical travel speed amplitudes articulated vehicles artificial neural networks autonomous driving autonomous emergency steering autonomous vehicles central control comfort contact patch control allocation covariance equations curve fitting differential-algebraic systems dimple model directional stability driving comfort eigenvalue analysis empirical modeling energy consumption and recovery enhancement finite element analysis Floquet theory applied to limit cycles footprint friction friction estimate fuel-cell electric vehicles gravel pavement handling handling enhancement in-wheel motor intelligent vehicles international roughness index limit cycles limit flows of trajectories longitudinal interaction microscopic traffic simulation motorcycle multi-input multi-output model predictive control multibody n/a noisy limit cycles non-linear model-based predictive control non-pneumatic tire nonlinear dynamic model optimisation Pacejka's magic formula patterned surfaces pitch behavior polar coordinates of roads potential friction power spectral density predictive control quarter car models quarter-car model rider road friction road models road profile road unevenness roll behavior roughness rubber screw axis self-steering behavior semi-active semi-active suspension sky-hook snake instability Sommerfeld effects speed oscillations stability analysis stability in mean steady state analysis straightedge supercritical speeds suspension suspension performance suspension test bench tire characterization tire model parameters identification tire models tire tread tire-based control transmission layouts tyre vehicle dynamics vehicle response vehicle stability vehicle-road interaction velocity bifurcations vertical vehicle excitation viscoelastic modulus viscoelasticity wear weave wobble |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566475803321 |
Farroni Flavio
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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