• How can traditional automotive safety frameworks be adapted to address the unique challenges posed by autonomous driving technologies?
• What are the key challenges in integrating ISO 26262 with emerging safety protocols, and how can the industry ensure comprehensive safety coverage?
• As AI-driven safety mechanisms become more common, what are the biggest hurdles in validating, testing, and certifying these advanced technologies?
• How can prototyping, small-scale development, and rigorous testing methodologies help identify and mitigate risks in the early stages of autonomous vehicle development?
• With evolving regulations and industry standards, what proactive measures should OEMs and suppliers take to ensure the long-term safety and reliability of autonomous systems?

This presentation explores various safety approaches, including functional safety, operational safety, and cybersecurity, and compares traditional automotive safety measures with emerging methodologies tailored for AVs. We will analyze how AI-driven safety mechanisms, redundancy systems, and real-time risk assessment are redefining automotive safety standards. By examining regulatory trends, industry best practices, and real-world case studies, this session will provide a comprehensive understanding of how AV safety strategies are evolving to build trust and reliability in autonomous mobility.

In this session, you will get a deeper understanding of:

• Different types of safety in AVs, including functional, operational, and cybersecurity
• How traditional safety methods compare to modern AV-specific approaches like AI-driven risk management and fail-operational architectures
• Future safety regulations and industry best practices shaping autonomous vehicle development