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Session

C | Scalable Data Stream | Solution Study

Monday, March 17

12:45 PM - 01:15 PM

Live in Berlin

Less Details

This presentation explores how Understand.ai leverages AI-driven automation to optimize data annotation for autonomous driving. It highlights key technologies like interpolation, point cloud stitching, and pre-labeling, which significantly reduce manual effort and costs. Additionally, it emphasizes the importance of standardization in labeling workflows to enhance efficiency and ensure high-quality ground truth data. The presentation also covers deployment strategies, cost-saving synergies, and flexible cooperation models to help businesses navigate the challenges of scaling autonomous vehicle development in a competitive market.

In this session, you will learn more about how:

  • Advanced interpolation and AI-driven labeling can reduce manual effort by up to 75%, significantly cutting costs and improving scalability
  • Following structured workflows reduces costs by 36% and minimizes inefficiencies
Presentation

Speaker

Stefan Kohlmeyer

Head of Sales and Business Development, understand.AI

A seasoned leader in sales, business development, and product strategy, he has a strong track record in scaling technology-driven companies across Europe and APAC. Currently serving as Head of Sales and Business Development at Understand.ai, he leverages AI and machine learning to advance autonomous driving. With executive experience, he has led business growth, product innovation, and strategic partnerships in automotive software and over-the-air (OTA) solutions. His expertise spans operations management, revenue optimization, and cross-functional leadership, making him a key player in shaping the future of mobility and smart infrastructure.

The Pop in Your Job – What drives you? Why do you love your job?
I love to combine technology and business to create customer value.

Company

understand.AI

Founded in 2017 in Karlsruhe, Germany, understand.AI is an award-winning ground truth generation solution provider. With over 6 years of worldwide autonomous driving (AD) and Advanced Driver Assistance Systems (ADAS) project experience, understand.AI combines unique automotive domain expertise with AI/ML and cloud knowledge. The understand.AI portfolio comprises data annotation and scenario generation with focus on developing algorithms that increase the efficiency of ground truth training and validation projects for autonomous driving. In July 2019, understand.AI became a part of the dSPACE family. Founded in Paderborn, Germany in 1988, dSPACE is a globally renowned technology leader in simulation and validation for automotive, aerospace and manufacturing industries.

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