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A practical approach for defining and assessing data quality in automated driving

A practical approach for defining and assessing data quality in automated driving

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Automated driving with Level 3 characteristics (Conditional Driving Automation according to SAE [I]) has been intensely promoted by the industry and research scene in the recent years. Level 3 means that driving functions may be taken over by the system, but the human driver must take over control when requested by the system within a certain time frame. To prove the feasibility of such systems, many research activities and pilot projects are undertaken on the international level. Corresponding map services have been piloted in projects for automated driving and demonstrated in real operation.

Chapter Contents:

  • 20.1 Introduction
  • 20.2 Problem statement
  • 20.3 Development of a quality model
  • 20.3.1 Goal and methodology
  • 20.3.2 Basics
  • 20.3.3 Concept
  • 20.3.4 Level 1: quality parameters
  • 20.3.5 Level 2: quality requirements
  • 20.3.6 Level 3: quality methods
  • 20.3.6.1 One-time provision of data by an external data provider
  • 20.3.6.2 Continuous data provision by an external data provider
  • 20.3.6.3 Continuous data provision within the ecosystem of automated driving
  • 20.4 Discussion and outlook
  • Acknowledgements
  • References

Inspec keywords: road traffic control

Other keywords: automated driving; map services; data quality assessment; time frame; conditional driving automation; SAE; driving functions

Subjects: Road-traffic system control

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