Development and Verification of Infrastructure-Assisted Automated Driving Functions

Martin Rudigier, Georg Nestlinger, Kailin Tong, Selim Solmaz*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Automated vehicles we have on public roads today are capable of up to SAE Level-3 conditional autonomy according to the SAE J3016 Standard taxonomy, where the driver is the main responsible for the driving safety. All the decision-making processes of the system depend on computations performed on the ego vehicle and utilizing only on-board sensor information, mimicking the perception of a human driver. It can be conjectured that for higher levels of autonomy, on-board sensor information will not be sufficient alone. Infrastructure assistance will, therefore, be necessary to ensure the partial or full responsibility of the driving safety. With higher penetration rates of automated vehicles however, new problems will arise. It is expected that automated driving and particularly automated vehicle platoons will lead to more road damage in the form of rutting. Inspired by this, the EU project ESRIUM investigates infrastructure assisted routing recommendations utilizing C-ITS communications. In this respect, specially designed ADAS functions are being developed with capabilities to adapt their behavior according to specific routing recommendations. Automated vehicles equipped with such ADAS functions will be able to reduce road damage. The current paper presents the specific use cases, as well as the developed C-ITS assisted ADAS functions together with their verification results utilizing a simulation framework.
Original languageEnglish
Article number2161
Number of pages13
Issue number17
Publication statusPublished - 4 Sep 2021


  • automated vehicles
  • ADAS functions
  • C-ITS
  • IVIM
  • infrastructure assistance
  • routing recommendations
  • Automated vehicles
  • Infrastructure assistance
  • Routing recommendations
  • ADAS/AD functions

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Automotive Engineering
  • Signal Processing
  • Control and Systems Engineering
  • Hardware and Architecture
  • Computer Networks and Communications

Fields of Expertise

  • Information, Communication & Computing
  • Mobility & Production

Treatment code (Nähere Zuordnung)

  • Application


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