Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR

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Tang, Bo
Ball, John
Year of Publication:2019
Language:English
Physical Description:1 electronic resource (344 p.)
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id 993548356004498
ctrlnum (CKB)4100000010106143
(oapen)https://directory.doabooks.org/handle/20.500.12854/52517
(EXLCZ)994100000010106143
collection bib_alma
record_format marc
spelling Tang, Bo auth
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems
MDPI - Multidisciplinary Digital Publishing Institute 2019
1 electronic resource (344 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR
English
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
3-03921-375-X
Ball, John auth
language English
format eBook
author Tang, Bo
spellingShingle Tang, Bo
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
author_facet Tang, Bo
Ball, John
author_variant b t bt
author2 Ball, John
author2_variant j b jb
author_sort Tang, Bo
title Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
title_full Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
title_fullStr Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
title_full_unstemmed Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
title_auth Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
title_alt Machine Learning and Embedded Computing in Advanced Driver Assistance Systems
title_new Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
title_sort machine learning and embedded computing in advanced driver assistance systems (adas)
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2019
physical 1 electronic resource (344 p.)
isbn 3-03921-376-8
3-03921-375-X
illustrated Not Illustrated
work_keys_str_mv AT tangbo machinelearningandembeddedcomputinginadvanceddriverassistancesystemsadas
AT balljohn machinelearningandembeddedcomputinginadvanceddriverassistancesystemsadas
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AT balljohn machinelearningandembeddedcomputinginadvanceddriverassistancesystems
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carrierType_str_mv cr
is_hierarchy_title Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
author2_original_writing_str_mv noLinkedField
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