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RaceEngineer AI
From Sim2Real in motorsport racing

Challenge

The RaceEngineerAI project is an innovative response to the needs of lower-level motor racing teams, which face significant challenges due to limited financial and technological resources. In a landscape where motorsport generates huge economic impacts, the big teams enjoy millionaire budgets, while the smaller teams operate on much tighter margins, limiting their access to cutting-edge technologies.

Solution

This project aims to respond to this challenge by researching and developing a solution that takes advantage of the data generated in racing simulators (SimRacing), combining it with data from real races and Artificial Intelligence and simulation techniques to optimise driver performance in real racing scenarios.
RaceEngineerAI works as a virtual assistant for race engineers, enabling real-time analysis and offering strategic recommendations during competitions. This tool is especially aimed at teams in championships such as GT3, GT4, LMP2, LMP3, F3 and F4, where the difference between winning or losing can lie in the ability to make quick and informed strategic decisions.
Finally, the project also aims to democratise access to the professional racing profession. By enabling small teams to carry out detailed driver profiling using SimRacing data, it is easier to identify talents with the potential to move from the virtual to the real, even in contexts with limited resources.

Objectives, Activities and Results expected / achieved

Specific expected objectives:
O1 - Increase the competitiveness of lower-level racing teams through a system that optimises the work of their race engineers;
O2 - Research and develop profiling mechanisms to identify virtual drivers with greater potential in a real racing context;
O3 - Research and develop simulation and forecasting mechanisms to optimise racing strategies;
O4 - Develop an assistant specialising in racing and automotive engineering.

Project Reference

CENTRO2030-FEDER-01494400

Funding


Intervention Region

Portugal

Total Investment

880.416,80

IPN Investment

375.168,80

Total Eligible

880.416,80

IPN Eligible

375.168,80

EC Funding – Total

679.848,92

EC Funding – IPN

318.893,48

Duration

36 Months

Start Date

2025-01-01

End Date

2027-12-31

Approval Date

2025-01-27

Consortium

 Quicktrend Unipessoal, Lda
Instituto Pedro Nunes

Keywords

Artificial Inteligence;
Big Data;
LLMs.
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