Assessment and Support of Error Recognition in Automated Driving | When the machine fails

Wolfgang Spießl

ISBN 10: 3838129253 / ISBN 13: 9783838129259

Published by Südwestdeutscher Verlag für Hochschulschriften, 2015

About this Item

Assessment and Support of Error Recognition in Automated Driving | When the machine fails | Wolfgang Spießl | Taschenbuch | 232 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838129259 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106760582

Bibliographic Details

• Title: Assessment and Support of Error Recognition in Automated Driving | When the machine fails
• Publisher: Südwestdeutscher Verlag für Hochschulschriften
• Publication Date: 2015
• Language: English
• ISBN 10: 3838129253
• ISBN 13: 9783838129259
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 15D millimeters 220 millimeters width by 150 millimeters height by 15 millimeters depth
• Weight: 364 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Technical progress in the field of automated driving research is about to alter the way of driving from manual control toward supervision of automated control. The increasing dissemination of advanced driver assistance systems brings more and more people into contact with (semi-)automated systems that do not only warn against certain dangers and intervene if necessary, but are also able to take over parts of the driving task. Automated vehicles have the potential to increase traffic safety, efficiency and to reduce the driver’s workload. This requires systems working with absolute perfection that sense and interpret the environment correctly at any time and transform this information into adequate actions. However, such systems are not yet available today. Therefore it is necessary that the driver supervises automated vehicle control systems in order to be able to recognize automation errors and to intervene. Even if there is still a long way to go, it is worth taking a look at the ramifications an automated driving task implies.

About the Author

Studium der Medieninformatik und Promotion in Informatik an der LMU München. Projektleiter bei BMW Group Forschung und Technik, München.