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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 electronic resource (294 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
automated driving
scenario-based testing software framework traffic signs ADAS traffic sign recognition system cooperative perception ITS digital twin sensor fusion edge cloud autonomous drifting model predictive control (MPC) successive linearization adaptive control vehicle motion control varying road surfaces vehicle dynamics Mask R-CNN transfer learning inverse gamma correction illumination instance segmentation pedestrian custom dataset deep learning wheel loaders throttle prediction state prediction automation safety validation automated driving systems decomposition modular safety approval modular testing fault tree analysis adaptive cruise control informed machine learning physics-guided reinforcement learning safety autonomous vehicles autonomous conflict management UTM UAV UGV U-Space framework development lane detection simulation and modelling multi-layer perceptron convolutional neural network driver drowsiness ECG signal heart rate variability wavelet scalogram automated driving (AD) driving simulator expression of trust acceptance simulator case study NASA TLX advanced driver assistant systems (ADAS) system usability scale driving school virtual validation ground truth reference measurement calibration method simulation traffic evaluation simulation and modeling connected and automated vehicle driver assistance system virtual test and validation radar sensor physical perception model virtual sensor model |
| 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 | ||
| Materiale a stampa | ||
| 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 electronic resource (230 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
nonlinear height control
active air suspension output constraints random road excitation disturbance observer design electric vehicles in-vehicle network controller area network cybersecurity intrusion detection deep learning transfer learning model-based control vehicle dynamic potential tyre thermodynamics tyre wear weather influence vehicle safety double lane change safety optimization noninverting buck-boost converter high efficiency wide bandwidth control discrete-time sliding-mode current control (DSMCC) electric vehicle (EV) driver vehicle system energy management vehicle localization GNSS receivers RTK corrections sensor redundancy VMS machine learning ADAS image processing environment perception semantics 3D multiple object detection multiple object tracking dynamic SLAM roll angle estimator Kalman filter LQR controller inertial sensors motorcycle lean angle electrical vehicles EV charging scheduling binary linear programming binary quadratic programming vehicle control reinforcement learning curriculum learning sim-to-real world intelligent mobility heterogeneous vehicular communication Internet of connected vehicles vehicular ad hoc networks heterogeneous networking Internet of Things |
| ISBN | 3-0365-6010-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637781703321 |
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Cabrera Juan A
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
| Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) |
| Autore | Tang Bo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (344 p.) |
| 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 | 3-03921-376-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Machine Learning and Embedded Computing in Advanced Driver Assistance Systems |
| Record Nr. | UNINA-9910367757403321 |
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Tang Bo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| 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 electronic resource (346 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
tire model parameters identification
artificial neural networks curve fitting Pacejka's magic formula intelligent vehicles autonomous vehicles microscopic traffic simulation autonomous driving friction estimate tire-based control ADAS potential friction energy consumption and recovery transmission layouts fuel-cell electric vehicles adhesion enhancement dimple model patterned surfaces viscoelasticity enhancement articulated vehicles stability analysis nonlinear dynamic model snake instability eigenvalue analysis central control non-linear model-based predictive control pitch behavior predictive control roll behavior self-steering behavior vehicle dynamics viscoelastic modulus rubber friction empirical modeling autonomous emergency steering multi-input multi-output model predictive control actuator dynamics control allocation handling enhancement road friction wear tyre suspension semi-active handling comfort optimisation directional stability road profile road unevenness vehicle-road interaction vertical vehicle excitation tire models tire tread motorcycle rider screw axis weave wobble multibody gravel pavement roughness straightedge power spectral density international roughness index vehicle response driving comfort sky-hook in-wheel motor semi-active suspension quarter-car model suspension performance suspension test bench vehicle stability road models quarter car models limit cycles acceleration speed portraits speed oscillations velocity bifurcations noisy limit cycles limit flows of trajectories Sommerfeld effects differential-algebraic systems polar coordinates of roads covariance equations stability in mean supercritical speeds analytical travel speed amplitudes Floquet theory applied to limit cycles non-pneumatic tire finite element analysis steady state analysis tire characterization footprint contact patch longitudinal interaction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566475803321 |
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Farroni Flavio
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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