AUTONOMOUS VEHICLE DEVELOPMENT USE CASE PRESENTATION

Generative AI tools have the potential to speed up AV development, supporting three critical layers of R&D. In this session, attendees will learn about the ways in which Generative AI can support autonomous vehicles and autonomous driving by looking at:

• How to create virtual environments and simulate real-world scenarios allowing AVs to learn and adapt in a safe and controlled environment.
• Generating high volumes of synthetic data that represent real-world driving scenarios, thus eliminating the need for expensive and time-consuming field tests.
• Creating sophisticated and practical algorithms that can be used to train decision-making models.

CLOSING PANEL DISCUSSION

By this point in the day, you will have heard ground-breaking presentations and seen cutting-edge technology demos from some of the pioneering companies and individuals in automotive today. And while the industry is cognizant of the transformative power of Generative AI, there is the recognition that several hurdles will need to be overcome to fully leverage the capabilities of Generative AI.

This panel of experts will wrap up the conference proceedings with a discussion on what needs to be done to manage:

• Pushback from management/staff.
• High investment costs.
• Lack of technical staff, reskilling workers and education.
• Complex regulatory framework.
• Data privacy and IP concerns