B | Standards & Safety Integration Stream | Solution Study
Tuesday, March 18
10:00 AM - 10:30 AM
Live in Berlin
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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.
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.