收藏切换
Virtual Simulation Testing Method for Intelligent Vehicle Based on Large Language Model
收藏切换
PDF
Bing Zhu, Rui Tang, Jian Zhao, Peixing Zhang, Wenxu Li, Jiasheng Li, Xuefeng Xu
Automotive Engineering | 2025, 47(4) : 587 - 597
Less
收藏切换
Automotive Engineering | 2025, 47(4): 587-597
Feature Topic:Key Technologies on Intelligent and Connected Vehicles
Virtual Simulation Testing Method for Intelligent Vehicle Based on Large Language Model
Full
Bing Zhu, Rui Tang, Jian Zhao, Peixing Zhang, Wenxu Li, Jiasheng Li, Xuefeng Xu
Affiliations
  • Jilin University,National Key Laboratory of Automotive Chassis Integration and Bionics,Changchun 130022
Published: 2025-04-25 doi: 10.19562/j.chinasae.qcgc.2025.04.001
Outline
收藏切换

In this paper a simulation testing method for intelligent vehicle based on a large language model is proposed to address the issues of heavy reliance on human resources and prominent efficiency bottlenecks in existing scenario based testing methods. Firstly, a simulation testing architecture for intelligent vehicle based on a large language model is designed, and corresponding data and simulation layers are established. On this basis, an intelligent car simulation testing process based on a large language model is constructed. Knowledge mining, model finetuning, and knowledge base enhancement retrieval application processes are designed for knowledge question answering tasks. Application paths for scenario type analysis, scenario element generation, and scenario toolchain invocation are designed for scenario generation tasks. For testing and evaluation tasks, a comprehensive application framework for testing scenario analysis, evaluation system construction, and simulation testing execution is designed. Finally, each task is tested. The results show that the testing method proposed in this paper can effectively solve different types of testing tasks and improve testing efficiency.

intelligent vehicle  /  simulation testing  /  large language model  /  scenario generation  /  automatic testing
Bing Zhu, Rui Tang, Jian Zhao, Peixing Zhang, Wenxu Li, Jiasheng Li, Xuefeng Xu. Virtual Simulation Testing Method for Intelligent Vehicle Based on Large Language Model[J]. Automotive Engineering, 2025 , 47 (4) : 587 -597 . DOI: 10.19562/j.chinasae.qcgc.2025.04.001
Year 2025 volume 47 Issue 4
PDF
743
213
Cite this Article
BibTeX
Article Info
doi: 10.19562/j.chinasae.qcgc.2025.04.001
  • Receive Date:2024-06-07
  • Online Date:2025-07-08
  • Published:2025-04-25
Article Data
Affiliations
History
  • Received:2024-06-07
  • Revised:2024-07-22
Funding
Affiliations
    Jilin University,National Key Laboratory of Automotive Chassis Integration and Bionics,Changchun 130022
References
Share
https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2025.04.001
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT