Publication

IEEE White Paper

Published

Note: View also other available versions: IEEE White Paper

Corrigenda and amendments are sold separately.
VAT will be charged at the prevailing rate.

This purchase grants a right of use for one named user only. The right of use is always personal, even when a standard is being used within an organisation. For organisation-wide access and automatic updates, please choose a subscription.

Language
Services

Abstract

- Active. Artificial intelligence (AI) is rapidly changing the automotive industry. Advanced driver-assistance systems (ADAS) features, such as hands-free driving, intelligent braking, and real-time traffic sign recognition, driven by machine learning, are no longer science fiction. However, despite the excitement surrounding AI, a significant challenge has emerged: how can the automotive industry ensure that AI-driven functionality is implemented safely? This paper explores how traditional engineering processes, especially the V-model used in automotive development, can evolve to include AI safely and effectively. AI is not just a nice-to-have feature; it is becoming essential. The only way to build trust in autonomous and connected vehicles is to make AI safety a top priority from the very beginning of the development process.

Document information

  • Publication from IEEE
  • Published:
  • Document type: IS
  • Publisher IEEE
  • Distributor IEEE
  • Technical Committee /