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Session

B | Standards & Safety Integration Stream | Solution Study

Tuesday, March 18

10:00 AM - 10:30 AM

Live in Berlin

Less Details

As autonomous driving evolves towards end-to-end neural networks, ensuring access to vast, high-quality datasets has become critical. This session introduces MORAI’s innovative approach to data augmentation, blending real and synthetic sensor data to create highly realistic training datasets. Attendees will gain actionable insights into how validated mixed datasets can support scalable development and reduce the cost and complexity of real-world testing for autonomous vehicle systems.

  • Understand the impact of AI-driven data augmentation on the scalability of autonomous driving development
  • Learn about style transfer techniques for enhancing the realism and accuracy of synthetic sensor data
  • Explore how combining real and synthetic datasets creates perfectly labeled, cost-effective training data
  • Gain insights into strategies for efficient training and validation of end-to-end neural networks for autonomous vehicles
Presentation

Speaker

Clemens Habedank

Senior Solution Engineer, MORAI

Clemens Habedank is a Senior Solution Engineer at MORAI, where he designs and implements tailored solutions for customers across the EMEA region. The solutions intend to accelerate the development of autonomous systems and streamline verification and validation efforts with state-of-the-art technology. Prior to joining MORAI, Clemens spent several years in simulation-based testing, contributing to world-class autonomy programs at companies like Applied Intuition and IAV. He has also been actively involved in standardization efforts, including contributions to ASAM standards.

The Pop in Your Job – What drives you? Why do you love your job?
My passion for developing and testing autonomous vehicles began during university, where I wrote a seminal paper on the subject and completed a 9-month nanodegree at Udacity. This experience ignited a deep curiosity about the technology and a strong desire to contribute to safer, more efficient mobility solutions. Over the years I expanded my knowledge and refined my understanding of this complex field, often challenging my own assumptions along the way. The variety of innovative approaches in the market and the privilege of collaborating with brilliant minds make my work deeply fulfilling.

Company

MORAI

MORAI is South Korea’s leading provider of autonomous simulation platforms, ensuring the safety and reliability of autonomous vehicles. As of 2024, MORAI has expanded its operations to EMEA with regional headquarters in Munich, Germany. MORAI offers comprehensive tools for future mobility systems, including autonomous vehicles, Urban Air Mobility (UAM), unmanned robots, and unmanned vessels. These platforms allow clients to validate systems under diverse conditions, reducing risks and accelerating development. Founded in 2018 by former KAIST researchers, MORAI has earned the trust of clients like Hyundai, Samsung, and Naver Labs, and partners with global leaders like AWS, NVIDIA, and Ansys.

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