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Session

2 | Icebreaker

Sunday, September 28

08:00 PM - 10:00 PM

Live in Berlin

Less Details

  • What’s the most surprising thing you’ve seen a machine learning model do with visual or language data—and what did it reveal about model limitations or strengths?
  • In your view, what’s the most misunderstood aspect of Operational Design Domains when it comes to AI model development?
  • How important do you think natural language understanding is for future AV perception stacks—and why?
  • What’s your organization’s biggest bottleneck in transforming raw fleet data into actionable insights?
  • If you could instantly improve one aspect of current AV data workflows—annotation, model interpretability, scenario detection, etc.—what would it be and why?
Workshop

Speaker

Christopher Plachetka

Research Scientist, Volkswagen Group

Dr. Christopher Plachetka is a researcher for computer vision methods with a focus on deep learning

Company

Volkswagen Group

The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group is made up of ten brands from seven European countries: Volkswagen, Volkswagen Nutzfahrzeuge, ŠKODA, SEAT, CUPRA, Audi, Lamborghini, Bentley, Porsche and Ducati. Our group sells vehicles in 153 countries and operates 114 production plants worldwide. Each working day, around 675,000 employees worldwide produce cars, are involved in vehicle-related services or work in the other fields of business. Our goal is to make mobility sustainable for us and for future generations. Our promise: With electric drive, digital networking and autonomous driving, we make the automobile clean, quiet, intelligent and safe. At the same time, our core product becomes even more emotional and offers a completely new driving experience. It is also becoming part of the solution when it comes to climate and environmental protection. In this way, the car can continue to be a cornerstone of contemporary, individual and affordable mobility in the future. #Shapingmobility

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