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Intelligent Vehicles

This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2021
Soggetti:
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accesso online:ONIX_20210501_9783039434022_1080
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