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Advanced Sensing and Control for Connected and Automated Vehicles
| Advanced Sensing and Control for Connected and Automated Vehicles |
| Autore | Huang Chao |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (284 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
TROOP
truck platooning path planning kalman filter V2V communication string stability off-tracking articulated cargo trucks kabsch algorithm potential field sigmoid curve autonomous vehicles connected and autonomous vehicles artificial neural networks end-to-end learning multi-task learning urban vehicle platooning simulation attention executive control simulated driving task-cuing experiment electroencephalogram fronto-parietal network object vehicle estimation radar accuracy data-driven radar latency weighted interpolation autonomous vehicle urban platooning vehicle-to-vehicle communication in-vehicle network analytic hierarchy architecture traffic scenes object detection multi-scale channel attention attention feature fusion collision warning system ultra-wideband dead reckoning time to collision vehicle dynamic parameters Unscented Kalman Filter multiple-model electric vehicle unified chassis control unsprung mass autonomous driving trajectory tracking real-time control model predictive control tyre blow-out yaw stability roll stability vehicle dynamics model |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566481403321 |
Huang Chao
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Vehicular Sensor Networks : Applications, Advances and Challenges
| Vehicular Sensor Networks : Applications, Advances and Challenges |
| Autore | Kurugollu Fatih |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (238 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
barrier control
sensors platform vehicle detection license plate recognition raspberry-pi features extraction machine learning algorithms connected vehicles, internet of vehicles security IoT blockchain vehicular ad-hoc network wireless sensor networks wake-up radio medium access control protocol receiver-initiated MAC protocol traffic adaptation software-defined vehicular network vehicle-to-everything (V2X) modeling and implementation software defined network information-centric networking (ICN) client-cache (CC) video on demand (VoD) vehicular sensor network (VSN) smart city delay tolerant network infrastructure offloading opportunistic network vehicular mobility energy consumption carbon emission V2V communication message contents plausibility power control vehicle edge computing 5G cellular networks multi-receiver signcryption privacy PSO genetic algorithm ITS UAV simulation dynamic positioning 3D placement vehicular communications cross-validation anti-collaborative attack resource-saving trust computing Caching Named Data Networking Information Centric Networking Vehicular Ad Hoc Networks 5G D2D communication vehicle-to-vehicle communication mode selection vehicular social network vehicular sensor networks (VSN) vehicular ad-hoc networks (VANET) privacy and trust cyber security multimedia and cellular communication emerging IoT applications in VANET and VSN blockchain within VANET and VSN |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Vehicular Sensor Networks |
| Record Nr. | UNINA-9910557115103321 |
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Kurugollu Fatih
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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