top

  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.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
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
Opac: Controlla la disponibilità qui
Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles
Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles
Autore Naujoks Frederik
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (416 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato virtual reality
automated driving
pedestrians
decision making
crossing
eHMI
eye-tracking
attention distribution
road safety
driverless vehicles
behavioural adaptation
SAE L3 motorway chauffeur
system usage
acceptance
attention
secondary task
highly automated driving
HAD
takeover
conditional automation
intelligent vehicles
objective complexity
subjective complexity
familiarity
cognitive assistance
takeover quality
standardized test procedure
use cases
test protocol
Adaptive HMI
automotive user interfaces
driver behaviour
automated vehicles
automated driving systems
HMI
guidelines
heuristic evaluation
checklist
expert evaluation
human-machine interface
mode awareness
conditionally automated driving
human–machine interface
usability
validity
method development
motion sickness
methodology
driving comfort
multi-vehicle simulation
mixed traffic
measurement method
SAE Level 2
SAE Level 3
human factors
human machine interface
controllability
L3Pilot
marking automated vehicles
automated vehicles―human drivers interaction
explicit communication
external human-machine interface
(automated) vehicle–pedestrian interaction
implicit communication
Wizard of Oz
video
setup comparison/method comparison
partially automated driving
non-driving related tasks
take-over situations
test protocol development
user studies (simulator
closed circuit)
sleep
sleep inertia
HMI design
external human–machine interface
interface size
legibility
spatiotemporal displays
sensory augmentation
reliability display
uncertainty encoding
automotive hmi
human-machine cooperation
cooperative driver assistance
state transparency display
self-driving vehicles
test methods
evaluation
user studies
driver state
discomfort
psychophysiology
heart-rate variability (HRV)
skin conductance response (SCR)
highly automated driving (HAD)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557706303321
Naujoks Frederik  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui