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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 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Internet of Things and Artificial Intelligence in Transportation Revolution
| Internet of Things and Artificial Intelligence in Transportation Revolution |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (232 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
artificial neural networks
at-risk driving authentication automatic license plate recognition autonomous navigation autonomous path planning collision avoidance connected vehicle convolutional neural networks crowdsourcing data fusion DDPG decision-making deep learning deep reinforcement learning deep support vector machine driver drowsiness driver stress end-to-end histogram of oriented gradients hybrid dynamic system indoor localization Inertial Measurement Unit (IMU) Inertial Measurement Units intelligent transportation systems intelligent vehicle access internet of things maritime autonomous surface ships maritime vessel flows multi-objective genetic algorithm multiple kernel learning n/a road anomalies road transportation scene division security speed guidance state transition time-frequency traffic signal control unknown inputs observer unmanned ships urban freeway vehicle arrival time vehicle density |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557134703321 |
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Lytras Miltiadis
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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