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Actuators for Intelligent Electric Vehicles
Actuators for Intelligent Electric Vehicles
Autore Hang Peng
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (330 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Mechanical engineering & materials
Soggetto non controllato curb detection
intelligent vehicles
autonomous driving
electro-hydraulic brake system
master cylinder pressure estimation
vehicle longitudinal dynamics
brake linings’ coefficient of friction
ACC
safety evaluation
human-like evaluation
naturalistic driving study
driving behavior characteristic
electric vehicles
independent drive
direct yaw control
torque distribution
ultra-wideband
relative localization
enhanced precision
clock self-correction
homotopy
Levenberg–Marquardt
electric power steering
steering actuator
driverless racing vehicles
control
autonomous vehicles
lane-changing
decision-making
path planning
four-wheel independent drive
four-wheel independent steering
path tracking
handling stability
active safety control
electric vehicle
intelligent sanitation vehicle
trash can-handling robot
truss structure
multi-objective parameter optimization
topology optimization
discrete optimization
multiple load cases
intelligent electric vehicles
driver behavior recognition
multi-semantic description
confidence fusion
drift parking
open-loop control
supervision mechanism
two-speed AMT
in-wheel-drive
shifting process
selectable one-way clutch
five-degree-of-freedom vehicle model
pressure–position model
recursive least square
advanced driver assistant systems
adaptive cruise control
direct yaw moment control
extension control
model predictive control
optimization design
vehicle structure design
uncertainty
deceleration device
tyre-road peak friction coefficient estimation
tyre model
normalization
incentive sensitivity
four-wheel steering
semantic segmentation
high-resolution atlas training
super-resolution
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566471903321
Hang Peng  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Adaptive State
Adaptive State
Autore Petereit Janko
Pubbl/distr/stampa KIT Scientific Publishing, 2016
Descrizione fisica 1 electronic resource (XXV, 241 p. p.)
Collana Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
Soggetto non controllato obstacle avoidance
Pfadplanung
motion planning
autonomes Fahren
HindernisvermeidungMobile robots
path planning
Mobile Roboter
Bewegungsplanung
autonomous driving
ISBN 1000058693
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346767703321
Petereit Janko  
KIT Scientific Publishing, 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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
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Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
Autore Leon Florin
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (362 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato large margin nearest neighbor regression
distance metrics
prototypes
evolutionary algorithm
approximate differential optimization
multiple point hill climbing
adaptive sampling
free radical polymerization
autonomous driving
object tracking
trajectory prediction
deep neural networks
stochastic methods
applied machine learning
classification and regression
data mining
ensemble model
engineering informatics
gender-based violence in Mexico
twitter messages
class imbalance
k-nearest neighbor
instance-based learning
graph neural network
deep learning
hyperparameters
machine learning
optimization
inference
metaheuristics
animal-inspired
exploration
exploitation
hot rolled strip steel
surface defects
defect classification
knockout tournament
dynamic programming algorithm
computational complexity
combinatorics
intelligent transport systems
traffic control
spatial-temporal variable speed limit
multi-agent systems
reinforcement learning
distributed W-learning
urban motorways
multi-agent framework
NET framework
simulations
agent-based systems
agent algorithms
software design
multisensory fingerprint
interoperability
DeepFKTNet
classification
generative adversarial networks
image classification
transfer learning
plastic bottle
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Advances in Artificial Intelligence
Record Nr. UNINA-9910580212403321
Leon Florin  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applications in Electronics Pervading Industry, Environment and Society : Sensing Systems and Pervasive Intelligence
Applications in Electronics Pervading Industry, Environment and Society : Sensing Systems and Pervasive Intelligence
Autore Saponara Sergio
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (258 p.)
Soggetto topico Technology: general issues
Soggetto non controllato model-based design
FPGA
HDL code generation
wearable sensors
embedded devices
face recognition
face verification
biometric sensors
deep learning
distillation
convolutional neural networks
spatial transformer network
video coding
discrete cosine transform
directional transform
VLSI
alternative representations to float numbers
posit arithmetic
Deep Neural Networks (DNNs)
neural network activation functions
surface electromyography
event-driven
functional electrical stimulation
embedded system
resampling
interpolating polynomial
polyphase filter
digital circuit design
ASIC
bitmap indexing
processing in memory
memory wall
big data
internet of things
intelligent sensors
autonomous driving
cyber security
HW accelerator
on-chip random number generator (RNG)
SHA2
ASIC standard-cell
machine learning
edge computing
edge analytics
ANN
k-NN
SVM
decision trees
ARM
X-Cube-AI
STM32 Nucleo
rad-hard
PLL (phase-locked loop)
SEE (single event effects)
Spacefibre
TID (total ionization dose)
charge pump
phase/frequency detector
frequency divider
ring oscillator
LC-tank oscillator
SpaceFibre
rad-hard circuits
radiation effects
high-speed data transfer
support attitude
inertial measurement unit
coal mining
unscented Kalman filter
quaternion
gradient descent
research data collection and sharing
connected and automated driving
deployment and field testing
vehicular sensors
impact assessment
knowledge management
collaborative project methodology
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Applications in Electronics Pervading Industry, Environment and Society
Record Nr. UNINA-9910557367703321
Saponara Sergio  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Artificial Intelligence Applications to Smart City and Smart Enterprise
Artificial Intelligence Applications to Smart City and Smart Enterprise
Autore Impedovo Donato
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (374 p.)
Soggetto topico Information technology industries
Soggetto non controllato spatio-temporal
residual networks
bus traffic flow prediction
advance rate
shield performance
principal component analysis
ANFIS-GA
tunnel
online learning
extreme learning machine
cyclic dynamics
transfer learning
knowledge preservation
Feature Adaptive
optimization
Bacterial Foraging algorithm
Swarm Intelligence algorithm
Isolated Microgrid
traffic surveillance video
state analysis
Grassmann manifold
neural network
machine-learning
quality of life
Better Life Index
bagging
ensemble learning
pedestrian attributes
surveillance image
semantic attributes recognition
multi-label learning
large-scale database
traffic congestion detection
minimizing traffic congestion
traffic prediction
deep learning
urban mobility
ITS
Vehicle-to-Infrastructure
neural networks
LSTM
embeddings
trajectories
motion behavior
smart tourism
driver’s behavior detection
texting and driving
convolutional neural network
smart car
smart cities
smart infotainment
driver distraction
cameras
convolution
detection
image recognition
DSS
diabetes prediction
homecare assistance information system
muti-attribute analysis
artificial training dataset
machine learning
big data
data analysis
sensors
Internet of Things
vehicular networks
VDTN
routing
message scheduling
traffic flow prediction
wavenet
TrafficWave
RNN
GRU
SAEs
risk assessment
neural architecture search
recurrent neural network
automated driving vehicle
decision support system
artificial intelligence
disaster management
Smart city
program management
integrated model
smart city
intelligence transportation system
computer vision
potential pedestrian safety
data mining
healthcare
Apache Spark
disease detection
symptoms detection
Arabic language
Saudi dialect
Twitter
high performance computing (HPC)
spatial-temporal dependencies
traffic periodicity
graph convolutional network
traffic speed prediction
vehicular traffic
surveillance video
big data analysis
autonomous driving
life quality
pattern recognition
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557295703321
Impedovo Donato  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
AVENUE21 : Automatisierter und vernetzter Verkehr: Entwicklungen des urbanen Europa
AVENUE21 : Automatisierter und vernetzter Verkehr: Entwicklungen des urbanen Europa
Autore Mitteregger Mathias
Pubbl/distr/stampa Vienna, : TU Wien Academic Press, 2020
Descrizione fisica 1 electronic resource (214 p.)
Soggetto topico Transport planning & policy
City & town planning - architectural aspects
Highway & traffic engineering
Intelligent & automated transport system technology
Road transport industries
Road vehicle manufacturing industry
Europe
Soggetto non controllato autonomous driving
urban development
traffic planning
Europe
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Altri titoli varianti AVENUE21
Record Nr. UNINA-9910485581003321
Mitteregger Mathias  
Vienna, : TU Wien Academic Press, 2020
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
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
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Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Autore Tang Bo
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (344 p.)
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 3-03921-376-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Machine Learning and Embedded Computing in Advanced Driver Assistance Systems
Record Nr. UNINA-9910367757403321
Tang Bo  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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