• DocumentCode
    12231
  • Title

    Three Decades of Driver Assistance Systems: Review and Future Perspectives

  • Author

    Bengler, Klaus ; Dietmayer, Klaus ; Farber, Berthold ; Maurer, Markus ; Stiller, Christoph ; Winner, Hermann

  • Author_Institution
    Tech. Univ. Munchen, Munich, Germany
  • Volume
    6
  • Issue
    4
  • fYear
    2014
  • fDate
    winter 2014
  • Firstpage
    6
  • Lastpage
    22
  • Abstract
    This contribution provides a review of fundamental goals, development and future perspectives of driver assistance systems. Mobility is a fundamental desire of mankind. Virtually any society strives for safe and efficient mobility at low ecological and economic costs. Nevertheless, its technical implementation significantly differs among societies, depending on their culture and their degree of industrialization. A potential evolutionary roadmap for driver assistance systems is discussed. Emerging from systems based on proprioceptive sensors, such as ABS or ESC, we review the progress incented by the use of exteroceptive sensors such as radar, video, or lidar. While the ultimate goal of automated and cooperative traffic still remains a vision of the future, intermediate steps towards that aim can be realized through systems that mitigate or avoid collisions in selected driving situations. Research extends the state-of-the-art in automated driving in urban traffic and in cooperative driving, the latter addressing communication and collaboration between different vehicles, as well as cooperative vehicle operation by its driver and its machine intelligence. These steps are considered important for the interim period, until reliable unsupervised automated driving for all conceivable traffic situations becomes available. The prospective evolution of driver assistance systems will be stimulated by several technological, societal and market trends. The paper closes with a view on current research fields.
  • Keywords
    artificial intelligence; collision avoidance; driver information systems; intelligent transportation systems; road traffic; automated traffic; collision avoidance; collision mitigation; cooperative driving; cooperative traffic; cooperative vehicle operation; driver assistance systems; exteroceptive sensors; machine intelligence; proprioceptive sensors; unsupervised automated driving; urban traffic; Advanced driver assistance systems; Automatic control; Laser radar; Research and development; Sensor systems; Technology forecasting; Vehicle dynamics; Vehicle safety;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1939-1390
  • Type

    jour

  • DOI
    10.1109/MITS.2014.2336271
  • Filename
    6936444