Intelligent Vehicles

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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HerausgeberIn:
Parra Alonso, Ignacio
García Daza, Iván
Parra, Noelia Hernández
Sonstige:
Fernández-Llorca, David
Parra Alonso, Ignacio
García Daza, Iván
Parra, Noelia Hernández
Year of Publication:2020
Language:English
Physical Description:1 electronic resource (752 p.)
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spelling Fernández-Llorca, David edt
Intelligent Vehicles
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (752 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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, all from the Computer Engineering Department at the University of Alcalá (Madrid, Spain). A total of 32 manuscripts were finally accepted between 2019 and 2020, presented by top researchers from all over the world. The reader will find a well-representative set of current research and developments related to sensors and sensing for intelligent vehicles. The topics of the published manuscripts can be grouped into seven main categories: (1) assistance systems and automatic vehicle operation, (2) vehicle positioning and localization, (3) fault diagnosis and fail-x systems, (4) perception and scene understanding, (5) smart regenerative braking systems for electric vehicles, (6) driver behavior modeling and (7) intelligent sensing. We, the Guest Editors, hope that the readers will find this book to contain interesting papers for their research, papers that they will enjoy reading as much as we have enjoyed organizing this Special Issue
English
History of engineering & technology bicssc
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
3-03943-402-0
3-03943-403-9
Parra Alonso, Ignacio edt
García Daza, Iván edt
Parra, Noelia Hernández edt
Fernández-Llorca, David oth
Parra Alonso, Ignacio oth
García Daza, Iván oth
Parra, Noelia Hernández oth
language English
format eBook
author2 Parra Alonso, Ignacio
García Daza, Iván
Parra, Noelia Hernández
Fernández-Llorca, David
Parra Alonso, Ignacio
García Daza, Iván
Parra, Noelia Hernández
author_facet Parra Alonso, Ignacio
García Daza, Iván
Parra, Noelia Hernández
Fernández-Llorca, David
Parra Alonso, Ignacio
García Daza, Iván
Parra, Noelia Hernández
author2_variant d f l dfl
a i p ai aip
d i g di dig
n h p nh nhp
author2_role HerausgeberIn
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title Intelligent Vehicles
spellingShingle Intelligent Vehicles
title_full Intelligent Vehicles
title_fullStr Intelligent Vehicles
title_full_unstemmed Intelligent Vehicles
title_auth Intelligent Vehicles
title_new Intelligent Vehicles
title_sort intelligent vehicles
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (752 p.)
isbn 3-03943-402-0
3-03943-403-9
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