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

Bibliographic Details
Format:	eBook
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:	History of engineering and technology actuation systems adaptive classifier updating ADAS automated driving automated-manual transition autonomous driving autonomous driving assistance system autonomous vehicle autonomous vehicles autopilot biological vision blind spot detection camera communications convolutional neural network convolutional neural network (CNN) convolutional neural networks cooperative systems crash injury severity prediction deep leaning deep learning depthwise separable convolution discriminative correlation filter bank driver monitoring driverless driving assistance driving decision-making model drowsiness detection DSRC dynamic path-planning algorithms electric vehicles electrocardiogram (ECG) emergency decisions enhanced learning ethical and legal factors FPGA fusion Gabor convolution kernel Gaussian kernel generative adversarial nets Geobroadcast global region GPU image inpainting infinity norm Intelligent Transport Systems interface joystick kernel based MIL algorithm kinematic control LiDAR machine learning machine vision maneuver algorithm map generation multi-sensor n/a navigation neural networks object detection object tracking obstacle detection and classification occlusion optimization p-norm panoramic image dataset parallel architectures path planning perception in challenging conditions photoplethysmogram (PPG) predictive real-time object detection recurrence plot (RP) recurrent neural network red light-running behaviors relative speed residual learning road lane detection road scene smart band squeeze-and-excitation sub-region support vector machine model T-S fuzzy neural network terrestrial vehicle the emergency situations total vehicle mass of the front vehicle two-wheeled urban object detector VANET vehicle dynamics Vehicle-to-X communications visual tracking
Online Access:	Open Access: DOAB: description of the publication Open Access: DOAB, download the publication

Internet

Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication