TY  - GEN
AU  - Tang,Bo
AU  - Ball,John
TI  - Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
SN  - books978-3-03921-376-4
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - n/a
KW  - FPGA
KW  - recurrence plot (RP)
KW  - residual learning
KW  - neural networks
KW  - driver monitoring
KW  - navigation
KW  - depthwise separable convolution
KW  - optimization
KW  - dynamic path-planning algorithms
KW  - object tracking
KW  - sub-region
KW  - cooperative systems
KW  - convolutional neural networks
KW  - DSRC
KW  - VANET
KW  - joystick
KW  - road scene
KW  - convolutional neural network (CNN)
KW  - multi-sensor
KW  - p-norm
KW  - occlusion
KW  - crash injury severity prediction
KW  - deep leaning
KW  - squeeze-and-excitation
KW  - electric vehicles
KW  - perception in challenging conditions
KW  - T-S fuzzy neural network
KW  - total vehicle mass of the front vehicle
KW  - electrocardiogram (ECG)
KW  - communications
KW  - generative adversarial nets
KW  - camera
KW  - adaptive classifier updating
KW  - Vehicle-to-X communications
KW  - convolutional neural network
KW  - predictive
KW  - Geobroadcast
KW  - infinity norm
KW  - urban object detector
KW  - machine learning
KW  - automated-manual transition
KW  - red light-running behaviors
KW  - photoplethysmogram (PPG)
KW  - panoramic image dataset
KW  - parallel architectures
KW  - visual tracking
KW  - autopilot
KW  - ADAS
KW  - kinematic control
KW  - GPU
KW  - road lane detection
KW  - obstacle detection and classification
KW  - Gabor convolution kernel
KW  - autonomous vehicle
KW  - Intelligent Transport Systems
KW  - driving decision-making model
KW  - Gaussian kernel
KW  - autonomous vehicles
KW  - enhanced learning
KW  - ethical and legal factors
KW  - kernel based MIL algorithm
KW  - image inpainting
KW  - fusion
KW  - terrestrial vehicle
KW  - driverless
KW  - drowsiness detection
KW  - map generation
KW  - object detection
KW  - interface
KW  - machine vision
KW  - driving assistance
KW  - blind spot detection
KW  - deep learning
KW  - relative speed
KW  - autonomous driving assistance system
KW  - discriminative correlation filter bank
KW  - recurrent neural network
KW  - emergency decisions
KW  - LiDAR
KW  - real-time object detection
KW  - vehicle dynamics
KW  - path planning
KW  - actuation systems
KW  - maneuver algorithm
KW  - autonomous driving
KW  - smart band
KW  - the emergency situations
KW  - two-wheeled
KW  - support vector machine model
KW  - global region
KW  - biological vision
KW  - automated driving
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/1573
UR  - https://directory.doabooks.org/handle/20.500.12854/52517
ER  -