C | Data-Driven Autonomy Stream | Case Study
Monday, March 17
03:30 PM - 04:00 PM
Live in Berlin
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Autonomous driving relies on robust AI systems that require extensive training with vast amounts of data. However, data volume alone is not enough—its quality is equally critical. High-quality data must cover a balanced and relevant set, accurately representing the entire Operational Design Domain (ODD) of the vehicle. To meet these requirements, various data acquisition methods can be employed: recording real-world driving scenarios, augmenting existing data, and generating synthetic data through simulations or generative AI models. This talk will explore best practices and the potential of emerging technologies for efficient data acquisition. When recording large volumes of real-world driving data, trigger functions on edge devices are essential to capture only relevant information, optimizing bandwidth and storage usage. Data augmentation techniques allow for the creation of variations of existing scenes and simulation of rare edge cases, while generative AI offers unprecedented possibilities, enabling the generation of vast datasets through world models trained on large-scale internet data. By addressing these challenges, we aim to outline a roadmap for the efficient development and deployment of data-driven technologies in autonomous vehicles. In this session, you will learn more about:
Jacqueline Henle is the Vice Department Manager at FZI Forschungszentrum Informatik. She holds a degree in Industrial Engineering and Management from the Karlsruhe Institute of Technology (KIT), where she specialized in addressing economic and engineering challenges within the automotive industry. Her research at FZI focusses on the development of processes and methods that enable secure, data-driven, and flexible over-the-air (OTA) updates, ensuring the future of connected and intelligent vehicles. Jacqueline’s expertise lies at the intersection of innovation, standardization, and practical application, making it a driving force in advancing automotive systems engineering. Her work not only addresses current industry challenges but also paves the way for smarter, safer, and more adaptable automotive technologies.
The Pop in Your Job – What drives you? Why do you love your job?
At its core, research is about seeking creative solutions to unanswered questions. It demands not just technical expertise but also resilience, adaptability, and innovative thinking. Every challenge is an opportunity to learn, grow, and push boundaries, and I find deep satisfaction in tackling these hurdles. What drives me is an unquenchable curiosity about the world and a relentless desire to uncover new knowledge. One of the most rewarding parts of my role is collaborating with talented, passionate individuals. Research thrives on teamwork, and I am energized by the exchange of ideas with colleagues, students, and partners from diverse fields. Being part of a discipline that drives progress and shapes the future is a true privilege, and I can’t imagine dedicating myself to anything else.