• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. A Study on the Human and the Automation in Automated Driving: Getting to Know Each Other
 
  • Details
  • Full
Options
2018
Conference Paper
Title

A Study on the Human and the Automation in Automated Driving: Getting to Know Each Other

Abstract
In recent years, advanced driver assistant systems (ADAS) and solutions for automated driving have been introduced by several automotive original equipment manufacturers (OEMs) and suppliers. Currently, these types of automation are designed for partially automated driving, but the step towards higher levels of automation can be expected to be made soon. One of the most commonly addressed use cases is driving on a highway such as the German Autobahn. In this paper, we propose an approach for adapting the automation's behavior to the human's driving preferences, providing a cognitive automation system with a machine-learning algorithm. This system has been implemented in a simulator for automated driving and has been used in a study addressing conditional automation. Within the presented experiment, typical situations for automated driving under varying conditions have been tested in the driving simulator. During cooperative human-machine driving, the automation can learn the human's preferences regarding relevant driving states.
Author(s)
Altendorf, E.
Schütz, R.
Canpolat, Y.
Weßel, G.
Flemisch, F.
Mainwork
Advances in human aspects of transportation  
Conference
International Conference on Applied Human Factors and Ergonomics (AHFE) 2017  
DOI
10.1007/978-3-319-60441-1_65
Language
English
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024