MPG.eBooks - Description: Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

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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
Main Author:	Tang, Bo
Other Authors:	Ball, John
Format:	eBook
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:	Generative Adversarial Nets Visual Tracking Urban Object Detector Machine Learning Residual Learning Panoramic Image Dataset Gabor Convolution Kernel The Emergency Situations T-s Fuzzy Neural Network Intelligent Transport Systems Fusion Deep Learning Neural Networks Support Vector Machine Model Crash Injury Severity Prediction Squeeze-and-excitation Enhanced Learning Parallel Architectures Biological Vision Emergency Decisions Dsrc Photoplethysmogram (ppg) Electric Vehicles Autopilot Kinematic Control Recurrence Plot (rp) Relative Speed Red Light-running Behaviors Path Planning Total Vehicle Mass Of The Front Vehicle Deep Leaning Real-time Object Detection Convolutional Neural Networks Autonomous Vehicles Vehicle Dynamics Cooperative Systems Electrocardiogram (ecg) Navigation Vanet Kernel Based Mil Algorithm Communications Predictive Discriminative Correlation Filter Bank Camera Depthwise Separable Convolution Joystick Machine Vision Driving Decision-making Model Drowsiness Detection Autonomous Driving Assistance System Maneuver Algorithm Fpga Autonomous Driving N/a Dynamic Path-planning Algorithms Occlusion Adas History Of Engineering And Technology / Bicssc Global Region Terrestrial Vehicle Perception In Challenging Conditions Map Generation Interface Driving Assistance Sub-region Adaptive Classifier Updating Vehicle-to-x Communications Object Detection Ethical And Legal Factors Multi-sensor Infinity Norm P-norm Automated-manual Transition Actuation Systems Driverless Blind Spot Detection Road Lane Detection Recurrent Neural Network Smart Band Autonomous Vehicle Geobroadcast Lidar Two-wheeled Gpu Convolutional Neural Network (cnn) Object Tracking Obstacle Detection And Classification Gaussian Kernel Image Inpainting Convolutional Neural Network Optimization Road Scene Driver Monitoring Automated Driving
Online Access:	https://www.mdpi.com/books/pdfview/book/1573 https://directory.doabooks.org/handle/20.500.12854...
Collection:	Directory of Open Access Books - Collection details see MPG.ReNa

Description
Summary:	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
Item Description:	Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
Physical Description:	1 electronic resource (344 p.)
ISBN:	9783039213764 books978-3-03921-376-4 9783039213757