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Session

How can field data be effectively collected to train AD models?

5 | Challenge Your Peers

Monday, September 29

04:30 PM - 05:30 PM

Live in Berlin

Less Details

  • How can the need for diverse and extensive field data collection be effectively balanced with adverse technical and cost impacts on the embedded system?
  • What strategies can be employed to address biases in field data collection, so that AI models are trained on representative and inclusive datasets?
  • With the rapid evolution of sensor technology, what are the implications for the types and formats of data collected for training AD algorithms?
  • How to establish best practices for verifying the credibility and validity of field data, fostering trust among regulators, consumers, and other stakeholders?
  • How to choose and use collected data to validate and enhance simulations of components, subsystems and complete vehicles?
  • What is the role of field data and AI in the general systems engineering effort?
PE
Workshop

Speaker

Henrik Lönn

Research Engineer, Volvo AB

Henrik Lönn is a Research Engineer at Volvo Technology with over 5 years of experience in the automotive industry.

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Company

Volvo AB

www.volvogroup.com
The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. The Volvo Group, with its headquarters in Gothenburg, employs about 100,000 people, has production facilities in 18 countries and sells its products in more than 190 markets.
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