Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness

Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness

Abstract This study aims to comprehensively explore the complexities of integrating Artificial Intelligence (AI) into Autonomous Vehicles (AVs), examining the challenges introduced by AI components and their impact on testing procedures. The research focuses on essential requirements for trustworthy...

Full description

Saved in:
Bibliographic Details
Main Authors: David Fernández Llorca, Ronan Hamon, Henrik Junklewitz, Kathrin Grosse, Lars Kunze, Patrick Seiniger, Robert Swaim, Nick Reed, Alexandre Alahi, Emilia Gómez, Ignacio Sánchez, Akos Kriston
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:European Transport Research Review
Subjects:
Autonomous vehicles
Trustworthy AI
Testing
Vehicle Regulations
Cybersecurity
Transparency
Online Access:https://doi.org/10.1186/s12544-025-00732-x
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items