As the automotive industry accelerates towards the future of AD and ADAS, the demand for robust validation processes has never been greater. Central to this validation is the generation of accurate ground truth data. However, conventional methods of ground truth data generation present significant challenges in terms of program time, ensuring consistent data quality, and overall cost-effectiveness. Understand.AI delves into the limitations of traditional ground truth generation models and showcases how the advent of AI and ML technologies is revolutionizing the landscape. By automating the ground truth data generation process, AI/ML not only addresses industry challenges but also paves the way for scalable and efficient validation methodologies.
In this session, you will learn more about:
- The automotive industry undergoing a transformative shift
- AI/ML-driven, software-defined vehicles
- Several notable trends and challenges emerging from the perspective of a ground truth provider
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