Abstract:

Assessing the safety of vision-language models (VLMs) in autonomous driving is particularly important; however, existing work mainly focuses on traditional benchmark evaluations. As interactive components within autonomous driving systems, VLMs must maintain strong safety cognition during interactio...

Key points:

• Research on large language models
• Security application

Source: Evaluation of Safety Cognition Capability in Vision-Language Models for Autonomous Driving