Connected Truck Automation
Commercial trucking is an industry ripe for connected and automated vehicles. The operations of the trucks combined with the highly analytical nature of the customers makes for the possibility of very rapid adoption. By combining partial automation with v
- PDF / 6,598,390 Bytes
- 292 Pages / 453.543 x 683.15 pts Page_size
- 7 Downloads / 184 Views
Gereon Meyer Sven Beiker Editors
Road Vehicle Automation 3
Lecture Notes in Mobility Series editor Gereon Meyer, Berlin, Germany
More information about this series at http://www.springer.com/series/11573
Gereon Meyer Sven Beiker •
Editors
Road Vehicle Automation 3
123
Editors Gereon Meyer VDI/VDE Innovation + Technik GmbH Berlin Germany
ISSN 2196-5544 Lecture Notes in Mobility ISBN 978-3-319-40502-5 DOI 10.1007/978-3-319-40503-2
Sven Beiker Stanford University Palo Alto, CA USA
ISSN 2196-5552
(electronic)
ISBN 978-3-319-40503-2
(eBook)
Library of Congress Control Number: 2014941235 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
Higher-level automated driving keeps moving at full speed toward implementation: Universities are researching solutions for environmental perception, vehicle localization, and human interaction. Companies develop new vehicle and service concepts for automated driving and start providing automated driving functions via over the air software upgrades. Governments are working on the necessary regulatory frameworks; for instance, just very recently, NHTSA decided to interpret software as the “driver” of a self-driving car. Still, many challenges remain and require more work, for instance, automated driving in mixed traffic, the security of sensitive vehicle data, the need for a common language and for a joint strategy of the automotive and IT sectors. However, now is the time for extended testing and piloting of high-level automated driving under real-time conditions, particularly in the complexity of an urban environment, or across borders, and in consideration of multiple vehicle types. In this context, it is a great honor for us to edit the Road Vehicle Automation books that are published under the umbrella of the Spring
Data Loading...
