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