Automated driving functions such as route following assist or fully automated driving in urban environments are already being realized today in series and pilot projects [1, 2]. A prerequisite for such applications are HD maps which store static traffic elements and environmental data precisely localized. This information can be provided at runtime and support the automated vehicle efficiently in its driving function. Maps can provide information much earlier as on-board sensors, for example, due to occlusions or limited perceptual distance.

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SLAM and Map-Based Localization

  • Marc Sons,
  • Mario Theers,
  • Isabell Hofstetter

摘要

Automated driving functions such as route following assist or fully automated driving in urban environments are already being realized today in series and pilot projects [1, 2]. A prerequisite for such applications are HD maps which store static traffic elements and environmental data precisely localized. This information can be provided at runtime and support the automated vehicle efficiently in its driving function. Maps can provide information much earlier as on-board sensors, for example, due to occlusions or limited perceptual distance.