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Published March 15, 2022 | Version v1
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From PEGASUS to VVM - Where do we come from and why the PEGASUS Journey has not yet reached its Final Destination

Authors/Creators

  • 1. Opel Automobile

Description

The urban environment represents one of the greatest challenges for automated vehicles due to the enormous complexity of traffic scenarios and the high diversity of potential road users. This complexity and diversity of urban traffic scenarios must be mastered safely and reliably for people to be willing to use automated vehicles in urban environments.

A key factor for the acceptance and introduction of this new technology is therefore the proof of safety, verification and validation of automated vehicles. This topic is the focus of the PEGASUS VVM project, which takes up the work of the original PEGASUS project in the areas of testing and validation. It continues this work with the aim to develop a methodology for the proof of safety for urban driving, especially for the use case of urban intersections.

Up to now, the proof of safety for each new development has been obtained by means of lengthy and cost-intensive real-life tests. With the increasing complexity and ever shorter development cycles for automated vehicles, this approach is becoming increasingly difficult. For this reason, 22 prominent partners from industry and science are working in the VVM project to utilise the possibilities of digitalisation: In the interplay of simulations and real world tests, suitable methods will be found to demonstrate the safety of automated vehicles and to set standards for the establishment of safety verification in the industrial development process.

The PEGASUS VVM event on March 15/16, 2022 presented first results and new developments within the project. In various presentations and panel discussions, detailed insights into the methods, tools and approaches of VVM will be given. The setup and approach of PEGASUS VVM is introduced and explained in this presentation.

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References

  • N. Weber et al. "A simulation-based, statistical approach for the derivation of concrete scenarios for the release of highly automated driving functions", in AmE 2020 - Automotive meets Electronics; 11th GMM-Symposium, Dortmund, Germany, 2020, pp. 1-6, DOI:10.13140/RG.2.2.15306.31683/1
  • M. Scholtes et al., "6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment," in IEEE Access, doi: 10.1109/ACCESS.2021.3072739
  • C. Neurohr et al. "Criticality Analysis for the Verification and Validation of Automated Vehicles" in IEEE Access, doi: 10.1109/ACCESS.2021.3053159