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
![]() |
||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Feasible, Robust and Reliable Automation and Control for Autonomous Systems |
Autore | Hamid Umar Zakir Abdul |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (232 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
neuron PID
Kalman filtering omnidirectional mobile robot implementations anti-windup fault tolerance reconfigurable control Maglev neural networks artificial intelligence unmanned tracked vehicle inertial parameters vehicle-terrain interaction identification recursive least square with exponential forgetting generalized Newton-Raphson Unscented Kalman Filter lane keeping control (LKC) non-smooth finite-time control previewed tracking error weight superposition electric vehicle (EV) ODD-based AD function design path tracking path planning software architecture interface design autonomous vehicle advanced driver-assistance system LPV approach robust control cruise control semi-active suspension control passenger comfort automated vehicles ADAS/AD functions C-ITS IVIM infrastructure assistance routing recommendations autonomous driving active learning formal methods model-based engineering automata learning unmanned vehicle nonlinear model prediction controller trajectory tracking outdoor field test vehicle following path following splines spline approximation |
ISBN | 3-0365-5076-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619469203321 |
Hamid Umar Zakir Abdul
![]() |
||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Remote Sensing in Vessel Detection and Navigation |
Autore | Heiselberg Henning |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (286 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
autonomous navigation
automatic radar plotting aid safe objects control game theory computer simulation Sentinel-2 multispectral temporal offsets ship aircraft velocity altitude parallax jet stream Unmanned Surface Vessel (USV) multi-Global Navigation Satellite System (GNSS) receiver bathymetric measurements cross track error (XTE) SSL six-degrees-of-freedom motion motion attitude model edge detection straight-line fitting visual saliency vessel detection video monitoring inland waterway real-time detection neural network target recognition HRRP residual structure loss function trajectory tracking unmanned surface vehicle navigation bathymetry hydrographic survey real-time communication maritime situational awareness ship detection Iridium on-board image processing flight campaign position estimation ranging mode single shore station AIS bag-of-words mechanism machine learning image analysis ship classification marine system river monitoring system feature extraction synthetic aperture radar (SAR) ship detection multi-stage rotational region based network (MSR2N) rotated anchor generation multi-stage rotational detection network (MSRDN) convolutional neural network (CNN) synthetic aperture radar (SAR) multiscale and small ship detection complex background false alarm farbon dioxide peaks midwave infrared FTIR adaptive stochastic resonance (ASR) matched intrawell response nonlinear filter line enhancer autonomous underwater vehicles (AUVs) target tracking group targets GLMB structure formation remote sensing |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557112803321 |
Heiselberg Henning
![]() |
||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|