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A Location Cloud for Highly Automated Driving

  • Ogi RedzicEmail author
  • Dietmar Rabel
Conference paper
Part of the Lecture Notes in Mobility book series (LNMOB)

Abstract

For highly and, ultimately, fully automated driving to become a reality and gain broad market acceptance, industry participants must resolve three critical technological problems. The first concerns the car’s ability to localize itself to centimeter-level precision: ‘where exactly am I?’ The second relates to the car’s ability to recognize and react to events occurring on the road beyond the reach of its onboard sensors: ‘what lies ahead?’ And the third concerns the car’s ability to drive in a way that is acceptable to the car’s occupants and other road users: ‘how can I get there comfortably?’ In this paper, the authors outline the work of their organization, HERE, in developing a location cloud for highly automated driving that offers resolutions to each of these problems.

Keywords

Highly automated driving Autonomous driving High definition maps Location Vehicle localization Cloud 

Reference

  1. 1.
    National Highway Traffic Safety Administration (NHTSA) (2013) US Department of Transportation Releases Policy on Automated Vehicle Development, 30 May 2013. http://www.nhtsa.gov/About+NHTSA/Press+Releases/U.S.+Department+of+Transportation+Releases+Policy+on+Automated+Vehicle+Development; and The Federal Highway Research Institute (BASt), http://www.bast.de/DE/Publikationen/Foko/Downloads/2012-11.pdf?__blob=publicationFile&v=1

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.HEREChicagoUSA
  2. 2.HERESchwalbachGermany

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