Adopting AI Development Lifecycle in the Classical V-model Automotive Development Safety Lifecycle

DISCOVER HOW TO ENSURE SAFETY OF AI-DRIVEN AUTOMOTIVE TECHNOLOGIES

Today, Artificial Intelligence (AI) is revolutionising industries, with the automotive sector being no exception. As AI-powered functionalities become increasingly integrated into vehicle systems, complexity grows, making it more challenging to ensure vehicle safety and security.

This webinar will shed light on the critical issues the automotive industry faces when harmonising the AI development lifecycle with the traditional V-model safety lifecycle. This integration process involves seamlessly merging two fundamental phases: the data lifecycle and the model development lifecycle into an organisation's conventional automotive development process. Join us to discover how your organisation can successfully integrate AI development into vehicle development, ensuring the safety, reliability, and security of AI-driven automotive technologies.

In this webinar, our experts also explore the effective use of automotive standards such as ISO 26262 and ISO 21448 to guarantee the quality of AI-related work products.

To view the webinar, fill up the form now.

Our webinar will tackle these points, focusing on:

• Key AI-related technology shaping the future of vehicle
• Issue in AI complexity and its integration into vehicle development
• Proposing a method to integrate AI development into vehicle development
• Key requirements to ensure AI quality for automotive
• Q & A session

About the speaker

Mr. Aparajita Paul
Principal Engineer, Autonomous Vehicle Safety, TÜV SÜD

With over 16 years of professional experience, Paul possesses a wealth of expertise in system engineering, functional safety, and SOTIF. His extensive background includes substantial involvement in projects spanning the automotive, aerospace, and consumer product domains. Additionally, he has contributed his skills and knowledge to assessment organisations involved in autonomous vehicle deployment within the context of Singapore.

Learn more about our AI Quality Training for Automotive.