Case Study
Monday, June 30
09:00 AM - 09:30 AM
Live in San Francisco
Less Details
The volume, velocity, and variety of data are foundational to advancing autonomous driving systems, yet manual data collection for training machine learning models remains costly, time-intensive, and limited in covering edge cases. This presentation explores how synthetic data generation and AI-driven data augmentation techniques address these challenges, enabling scalable, high-quality training datasets for perception systems. Attendees will discover how synthetic data enriches real-world datasets, enhances model robustness, and accelerates development cycles while maintaining accuracy. Through case studies and technical insights, the session will highlight best practices for balancing synthetic and real-world data, ensuring safety-critical scenarios are thoroughly validated.
In this session, you will learn more about:
György Katona is a Technical Project Manager at Bosch Hungary, specializing in data-driven solutions for automotive innovation. With over 5 years of experience in the automotive sector, he has led large-scale data management platforms and currently spearheads a project developing tools to streamline data enrichment for machine learning engineers. Passionate about the transformative power of data, György excels in bridging technical gaps between teams, optimizing workflows, and delivering scalable solutions that address critical bottlenecks in ADAS development. His expertise spans data science, AI-driven tooling, and collaborative problem-solving, ensuring robust and efficient ML pipelines for autonomous driving systems.
The Pop in Your Job – What drives you? Why do you love your job?
What drives me is the thrill of turning complex challenges into streamlined solutions. I thrive on collaborating with diverse teams - understanding their pain points, dissecting their workflows, and crafting tools that empower them to focus on innovation. Data isn’t just numbers or algorithms to me - it’s the backbone of safer, smarter autonomous systems. Whether it’s visualizing insights to tell a compelling story or designing AI tools that accelerate development, I love how my work directly impacts the future of mobility.