• DocumentCode
    3681937
  • Title

    Driver Capability Monitoring in Highly Automated Driving: From State to Capability Monitoring

  • Author

    Gonçalves;Cristina Olaverri-Monreal;Klaus Bengler

  • Author_Institution
    Inst. of Ergonomics, Tech. Univ. Munich, Munich, Germany
  • fYear
    2015
  • Firstpage
    2329
  • Lastpage
    2334
  • Abstract
    A collision probability estimator in the advent of an emergency Take Over Request (TOR) that considers the driver reaction time and the driver state is an essential tool for developing driver assistance systems for Highly Automated Driving (HAD). In this paper we present an architecture for capturing the driver state and behavior inside the vehicle. This system is then used to predict the collision probability in the situation where drivers resolve the TOR doing a keep lane maneuver (KLM) and brake to avoid the collision. Since this maneuver can be executed safely even under fast reactions, we use it as a reference to determine if is it safe for transferring the vehicle control to the driver.
  • Keywords
    "Vehicles","Automation","Monitoring","Program processors","Estimation","Roads","Process control"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
  • ISSN
    2153-0009
  • Electronic_ISBN
    2153-0017
  • Type

    conf

  • DOI
    10.1109/ITSC.2015.376
  • Filename
    7313468