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VaViM - Validation of virtual models used for simulation of autonomous vehicle systems

Reference number
Coordinator Volvo Autonomous Solutions AB
Funding from Vinnova SEK 806 556
Project duration February 2022 - August 2022
Status Completed
Venture Strategic Innovation Program Drive Sweden

Purpose and goal

This feasibility study has identified state-of-the-art (SOTA) and research questions in methods for validating virtual models used in the simulation of self-driving vehicle systems. Furthermore, a conceptual tool for visualizing the value of a chosen simulation strategy has been constructed and tested. A draft of a new project application has been formulated and contact with interested partners has been initiated. The results will be the basis for the continued work to formulate a joint project application for further studies with interested partners.

Expected results and effects

The pre-study resulted in material (SOTA report, research questions and a draft to a new project application) that enables the formulation of further studies with other key players. The long-term objective is to create objective measures of the reliability of simulations of self-driving vehicle systems. A working method where validated models and real tests are used side by side enables an efficient and predictable verification of the product´s quality and safety during its entire life cycle; feasibility study, development, commissioning, maintenance & optimizations.

Planned approach and implementation

1. SOTA; Survey of recent research on validation of simulation models in autonomous transportation and relevant adjacent areas. 2. Research questions; GAP analysis and definition of important research questions for future studies. 3. Feasibility study; Modeling effort resulting in a conceptual tool aiming to visualize the value of a chosen simulation strategy. 4. Draft new project proposal; connection to new partners has started with the aim of formulating a project application for further studies.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 1 November 2022

Reference number 2021-05178

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