• DocumentCode
    1767189
  • Title

    Radar contribution to highly automated driving

  • Author

    Dickmann, Juergen ; Appenrodt, Nils ; Bloecher, Hans-Ludwig ; Brenk, C. ; Hackbarth, Thomas ; Hahn, Markus ; Klappstein, Jens ; Muntzinger, Marc ; Sailer, Alfons

  • Author_Institution
    Daimler AGResearch and Advanced-Development, Ulm, Germany
  • fYear
    2014
  • fDate
    6-9 Oct. 2014
  • Firstpage
    1715
  • Lastpage
    1718
  • Abstract
    Over the last years, radar based driver assistance and active safety systems have found wide spread application in nearly all vehicle brands all over the world. With the market introduction of the 2014 Mercedes-Benz S-Class vehicle equipped with six radar sensors covering the vehicles environment 360° in the near and far range, autonomous driving has become a reality even in low speed highway scenarios. This paves the way for a fast evolution of highly automated driving that also will extend to rural and urban traffic situations. One big straight ahead was made in August 2013. A Mercedes-Benz S-Class vehicle - Mercedes-internally called “Bertha”- drove completely autonomously for about 100 km from Mannheim to Pforzheim, Germany. It followed the well-known historic Bertha Benz Memorial Route. This was done on the basis of one stereo vision system, eight serial radar sensors and a huge amount of radar based innovative perception algorithms. These new algorithms taking into account that urban scenarios are characterized by dramatic shorter reaction and observation times, shorter mean free distances, a 360° interaction zone and a large variety of object types to be considered. Automotive radar has been the backbone of driver assistance systems and the innovation driver in this field. The question which came up was, will it be able to meet the requirements of eruptive innovations like autonomous driving. The article describes the main challenges, which Daimler radar researches had to face and their solutions to make Bertha see. It will also outline the remaining challenges for radar research and product development.
  • Keywords
    automobiles; road safety; road vehicle radar; stereo image processing; Bertha Benz Memorial Route; Germany; Mercedes-Benz S-Class vehicle; Pforzheim; automotive radar; autonomous driving; radar based active safety system; radar based driver assistance system; radar based innovative perception algorithm; serial radar sensors; stereovision system; Automotive engineering; Doppler radar; Radar imaging; Radar tracking; Sensors; Vehicles; Radar; highly automatic driving; sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference (EuMC), 2014 44th European
  • Conference_Location
    Rome
  • Type

    conf

  • DOI
    10.1109/EuMC.2014.6986787
  • Filename
    6986787