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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  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Feasible, Robust and Reliable Automation and Control for Autonomous Systems
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing in Vessel Detection and Navigation
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui