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

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Author: John Ball
Publisher: MDPI
Total Pages: 342
Release: 2019-10-01
Genre: Technology & Engineering
ISBN: 303921375X


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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 and camera processing, ethics, and communications. Several new datasets are also provided for future research work. Researchers and others interested in these topics will find important advances contained in this book.


Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Language: en
Pages: 342
Authors: John Ball
Categories: Technology & Engineering
Type: BOOK - Published: 2019-10-01 - Publisher: MDPI

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This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detec
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Language: en
Pages: 1
Authors: John Ball
Categories: Electronic books
Type: BOOK - Published: 2019 - Publisher:

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This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detec
From AI to Autonomous and Connected Vehicles
Language: en
Pages: 290
Authors: Abdelaziz Bensrhair
Categories: Computers
Type: BOOK - Published: 2021-09-22 - Publisher: John Wiley & Sons

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The main topic of this book is the recent development of on-board advanced driver-assistance systems (ADAS), which we can already tell will eventually contribut
Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems
Language: en
Pages: 312
Authors: Holger Blume
Categories: Transportation
Type: BOOK - Published: 2017-04-28 - Publisher: River Publishers

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The European research project DESERVE (DEvelopment platform for Safe and Efficient dRiVE, 2012-2015) had the aim of designing and developing a platform tool to
Machine Learning in Advanced Driver-assistance Systems
Language: en
Pages: 0
Authors: Farzin Ghorban
Categories: Automobiles
Type: BOOK - Published: 2019 - Publisher:

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In the context of advanced driver-assistance systems (ADAS), vehicles are equipped with multiple sensors to record the vehicle's environment and use intelligent