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September 19, 2025Automotive InnovationOpen Access

OmniTester: Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles

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Authors

QLQiujing LuXWXuanhan WangYJYiwei Jiang

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Overview

New framework generates realistic scenarios for autonomous vehicle testing, enhancing controllability and generalization.

Key Points

  • OmniTester generates diverse and realistic scenarios, enhancing autonomous vehicle testing accuracy.
  • Experimental results show significant improvements in realism and controllability for testing various automated driving situations.
  • The framework utilizes multimodal large language models to address the complexities of scenario generation.
  • Implementing advanced techniques like Retrieval-Augmented Generation increases the LLM's capability in understanding intricate driving scenarios.

Cite This Study

Lu et al. (2025) studied this question.

synapsesocial.com/papers/68d46fbd31b076d99fa696a5https://doi.org/10.1007/s42154-025-00364-w
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