Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Intelligent Vehicles
| Intelligent Vehicles |
| Autore | Fernández-Llorca David |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (752 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
tracking-by-detection
multi-vehicle tracking Siamese network data association Markov decision process driving behavior real-time monitoring driver distraction mobile application portable system simulation test dynamic driving behavior traffic scene augmentation corridor model IMU vision classification networks Hough transform lane markings detection semantic segmentation transfer learning autonomous off-road driving tire-road forces estimation slip angle estimation gauge sensors fuzzy logic system load transfer estimation simulation results normalization lateral force empirical model driver monitor lane departure statistical process control fault detection sensor fault signal restoration intelligent vehicle autonomous vehicle kinematic model visual SLAM sparse direct method photometric calibration corner detection and filtering loop closure detection road friction coefficient tire model nonlinear observer self-aligning torque lateral displacement Lyapunov method automatic parking system (APS) end-to-end parking reinforcement learning parking slot tracking deceleration planning multi-layer perceptron smart regenerative braking electric vehicles vehicle speed prediction driver behavior modeling electric vehicle control driver characteristics online learning objects’ edge detection stixel histograms accumulate point cloud segmentation autonomous vehicles scene understanding occlusion reasoning road detection advanced driver assistance system trajectory prediction risk assessment collision warning connected vehicles vehicular communications vulnerable road users fail-operational systems fall-back strategy automated driving advanced driving assistance systems illumination shadow detection shadow edge image processing traffic light detection intelligent transportation system lane-changing merging maneuvers game theory decision-making intelligent vehicles model predictive controller automatic train operation softness factor fusion velocity online obtaining hardware-in-the-loop simulation driving assistant driving diagnosis accident risk maps driving safety intelligent driving virtual test environment millimeter wave radar lane-change decision risk perception mixed traffic minimum safe deceleration automated driving system (ADS) sensor fusion multi-lane detection particle filter self-driving car unscented Kalman filter vehicle model Monte Carlo localization millimeter-wave radar square-root cubature Kalman filter Sage-Husa algorithm target tracking stationary and moving object classification localization LiDAR GNSS Global Positioning System (GPS) monte carlo autonomous driving robot motion path planning piecewise linear approximation multiple-target path planning autonomous mobile robot homotopy based path planning LiDAR signal processing sensor and information fusion advanced driver assistance systems autonomous racing high-speed camera real-time systems LiDAR odometry fail-aware sensors sensing percepction object detection and tracking scene segmentation vehicle positioning fail-x systems driver behavior modelling automatic operation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557112303321 |
Fernández-Llorca David
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Kurugollu Fatih
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||