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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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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 electronic resource (232 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
decision-making
autonomous navigation collision avoidance scene division deep reinforcement learning maritime autonomous surface ships internet of things crowdsourcing indoor localization data fusion security authentication Inertial Measurement Units road transportation traffic signal control speed guidance vehicle arrival time connected vehicle unmanned ships DDPG autonomous path planning end-to-end at-risk driving deep support vector machine driver drowsiness driver stress multi-objective genetic algorithm multiple kernel learning urban freeway hybrid dynamic system state transition unknown inputs observer vehicle density maritime vessel flows intelligent transportation systems deep learning automatic license plate recognition intelligent vehicle access histogram of oriented gradients artificial neural networks convolutional neural networks time-frequency Inertial Measurement Unit (IMU) road anomalies |
| 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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