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Advances in Automated Driving Systems
Advances in Automated Driving Systems
Autore Eichberger Arno
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (294 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato acceptance
adaptive control
adaptive cruise control
ADAS
advanced driver assistant systems (ADAS)
automated driving
automated driving (AD)
automated driving systems
automation
autonomous conflict management
autonomous drifting
autonomous vehicles
calibration method
connected and automated vehicle
convolutional neural network
cooperative perception
decomposition
deep learning
digital twin
driver assistance system
driver drowsiness
driving school
driving simulator
ECG signal
edge cloud
expression of trust
fault tree analysis
framework development
ground truth
heart rate variability
illumination
informed machine learning
instance segmentation
inverse gamma correction
ITS
lane detection
Mask R-CNN
model predictive control (MPC)
modular safety approval
modular testing
multi-layer perceptron
n/a
NASA TLX
pedestrian custom dataset
physical perception model
physics-guided reinforcement learning
radar sensor
reference measurement
safety
safety validation
scenario-based testing
sensor fusion
simulation
simulation and modeling
simulation and modelling
simulator case study
software framework
state prediction
successive linearization
system usability scale
throttle prediction
traffic evaluation
traffic sign recognition system
traffic signs
transfer learning
U-Space
UAV
UGV
UTM
varying road surfaces
vehicle dynamics
vehicle motion control
virtual sensor model
virtual test and validation
virtual validation
wavelet scalogram
wheel loaders
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580214003321
Eichberger Arno  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Intelligent Vehicle Control
Advances in Intelligent Vehicle Control
Autore Cabrera Juan A
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (230 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D multiple object detection
active air suspension
ADAS
binary linear programming
binary quadratic programming
controller area network
curriculum learning
cybersecurity
deep learning
discrete-time sliding-mode current control (DSMCC)
disturbance observer design
double lane change
driver vehicle system
dynamic SLAM
electric vehicle (EV)
electric vehicles
electrical vehicles
energy management
environment perception
EV charging scheduling
GNSS receivers
heterogeneous networking
heterogeneous vehicular communication
high efficiency
image processing
in-vehicle network
inertial sensors
intelligent mobility
Internet of connected vehicles
Internet of Things
intrusion detection
Kalman filter
LQR controller
machine learning
model-based control
motorcycle lean angle
multiple object tracking
n/a
noninverting buck-boost converter
nonlinear height control
output constraints
random road excitation
reinforcement learning
roll angle estimator
RTK corrections
safety optimization
semantics
sensor redundancy
sim-to-real world
transfer learning
tyre thermodynamics
tyre wear
vehicle control
vehicle dynamic potential
vehicle localization
vehicle safety
vehicular ad hoc networks
VMS
weather influence
wide bandwidth control
ISBN 3-0365-6010-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637781703321
Cabrera Juan A  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) / John Ball, Bo Tang
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) / John Ball, Bo Tang
Autore Ball John
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (344 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato FPGA
recurrence plot (RP)
residual learning
neural networks
driver monitoring
navigation
depthwise separable convolution
optimization
dynamic path-planning algorithms
object tracking
sub-region
cooperative systems
convolutional neural networks
DSRC
VANET
joystick
road scene
convolutional neural network (CNN)
multi-sensor
p-norm
occlusion
crash injury severity prediction
deep leaning
squeeze-and-excitation
electric vehicles
perception in challenging conditions
T-S fuzzy neural network
total vehicle mass of the front vehicle
electrocardiogram (ECG)
communications
generative adversarial nets
camera
adaptive classifier updating
Vehicle-to-X communications
convolutional neural network
predictive
Geobroadcast
infinity norm
urban object detector
machine learning
automated-manual transition
red light-running behaviors
photoplethysmogram (PPG)
panoramic image dataset
parallel architectures
visual tracking
autopilot
ADAS
kinematic control
GPU
road lane detection
obstacle detection and classification
Gabor convolution kernel
autonomous vehicle
Intelligent Transport Systems
driving decision-making model
Gaussian kernel
autonomous vehicles
enhanced learning
ethical and legal factors
kernel based MIL algorithm
image inpainting
fusion
terrestrial vehicle
driverless
drowsiness detection
map generation
object detection
interface
machine vision
driving assistance
blind spot detection
deep learning
relative speed
autonomous driving assistance system
discriminative correlation filter bank
recurrent neural network
emergency decisions
LiDAR
real-time object detection
vehicle dynamics
path planning
actuation systems
maneuver algorithm
autonomous driving
smart band
the emergency situations
two-wheeled
support vector machine model
global region
biological vision
automated driving
ISBN 9783039213764
3039213768
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367757403321
Ball John  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact
Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact
Autore Farroni Flavio
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (346 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato acceleration speed portraits
actuator dynamics
ADAS
adhesion enhancement
analytical travel speed amplitudes
articulated vehicles
artificial neural networks
autonomous driving
autonomous emergency steering
autonomous vehicles
central control
comfort
contact patch
control allocation
covariance equations
curve fitting
differential-algebraic systems
dimple model
directional stability
driving comfort
eigenvalue analysis
empirical modeling
energy consumption and recovery
enhancement
finite element analysis
Floquet theory applied to limit cycles
footprint
friction
friction estimate
fuel-cell electric vehicles
gravel pavement
handling
handling enhancement
in-wheel motor
intelligent vehicles
international roughness index
limit cycles
limit flows of trajectories
longitudinal interaction
microscopic traffic simulation
motorcycle
multi-input multi-output model predictive control
multibody
n/a
noisy limit cycles
non-linear model-based predictive control
non-pneumatic tire
nonlinear dynamic model
optimisation
Pacejka's magic formula
patterned surfaces
pitch behavior
polar coordinates of roads
potential friction
power spectral density
predictive control
quarter car models
quarter-car model
rider
road friction
road models
road profile
road unevenness
roll behavior
roughness
rubber
screw axis
self-steering behavior
semi-active
semi-active suspension
sky-hook
snake instability
Sommerfeld effects
speed oscillations
stability analysis
stability in mean
steady state analysis
straightedge
supercritical speeds
suspension
suspension performance
suspension test bench
tire characterization
tire model parameters identification
tire models
tire tread
tire-based control
transmission layouts
tyre
vehicle dynamics
vehicle response
vehicle stability
vehicle-road interaction
velocity bifurcations
vertical vehicle excitation
viscoelastic modulus
viscoelasticity
wear
weave
wobble
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566475803321
Farroni Flavio  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui