Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Dependable Autonomous Commercial Vehicles

Dependable Autonomous Commercial Vehicles Automation RE S E A R C H A U TOM AT I O n Autonomous commercial vehicles have enormous potential to increase sustainability, comfort and profitability . Artificial intelligence and connectivity enable autonomous behavior, but often stand in the way of market launch. Traditional engineering techniques are no longer sufficient to achieve the desired dependability, and current legal and normative regulations are inappropriate or insufficient. At Fraunhofer IESE, a methodology for autonomous commercial vehicles has been developed that shows how solution approaches interact. In addition, one solution approach has already been applied successfully in the context of truck platooning in cooperation with AVL PTE Turkey. A U T HOR S Dr.-Ing. Rasmus Adler is Program Manager Autonomous Systems at the Fraunhofer Institute for Experimental Software Engineering IESE in Kaiserslautern (Germany). Jan Reich, M. Sc. is Project Manager Dynamic Assurances of Connected Autonomous Systems at the Fraunhofer Institute for Experimental Software Engineering IESE in Kaiserslautern (Germany). Assist. Prof. Dr. Cem Kaypmaz is Research Program Manager at AVL PTE Turkey R&D Management in Istanbul (Turkey). © Chesky_W | iStock.com 5 0 w w w.springerprofe s sional.com /automotive Automation 1 M OTIVATI O N 3 LEGAL AND NORMATIVE ASPECTS 2 AUTONOMOUS http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ATZoffhighway worldwide Springer Journals

Dependable Autonomous Commercial Vehicles

ATZoffhighway worldwide , Volume 14 (1) – Mar 19, 2021

Loading next page...
 
/lp/springer-journals/dependable-autonomous-commercial-vehicles-TBHiz7rl8D
Publisher
Springer Journals
Copyright
Copyright © Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2021
eISSN
2524-8774
DOI
10.1007/s41321-020-0405-z
Publisher site
See Article on Publisher Site

Abstract

Automation RE S E A R C H A U TOM AT I O n Autonomous commercial vehicles have enormous potential to increase sustainability, comfort and profitability . Artificial intelligence and connectivity enable autonomous behavior, but often stand in the way of market launch. Traditional engineering techniques are no longer sufficient to achieve the desired dependability, and current legal and normative regulations are inappropriate or insufficient. At Fraunhofer IESE, a methodology for autonomous commercial vehicles has been developed that shows how solution approaches interact. In addition, one solution approach has already been applied successfully in the context of truck platooning in cooperation with AVL PTE Turkey. A U T HOR S Dr.-Ing. Rasmus Adler is Program Manager Autonomous Systems at the Fraunhofer Institute for Experimental Software Engineering IESE in Kaiserslautern (Germany). Jan Reich, M. Sc. is Project Manager Dynamic Assurances of Connected Autonomous Systems at the Fraunhofer Institute for Experimental Software Engineering IESE in Kaiserslautern (Germany). Assist. Prof. Dr. Cem Kaypmaz is Research Program Manager at AVL PTE Turkey R&D Management in Istanbul (Turkey). © Chesky_W | iStock.com 5 0 w w w.springerprofe s sional.com /automotive Automation 1 M OTIVATI O N 3 LEGAL AND NORMATIVE ASPECTS 2 AUTONOMOUS

Journal

ATZoffhighway worldwideSpringer Journals

Published: Mar 19, 2021

There are no references for this article.