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A Survey on Intelligent Cockpit Multimodal Interaction Technology for New Energy Vehicles Based on AI Large Model
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Jianming Deng, Xunfei Gong, Qin Yu, Feng Luo, Chengliang Liao
Automotive Digest | 2025, (1) : 8 - 13
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Automotive Digest | 2025, (1): 8-13
A Survey on Intelligent Cockpit Multimodal Interaction Technology for New Energy Vehicles Based on AI Large Model
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Jianming Deng, Xunfei Gong, Qin Yu, Feng Luo, Chengliang Liao
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  • Jiangxi Isuzu Motors Co., Ltd., Nanchang 330108
Published: 2025-01-05 doi: 10.19822/j.cnki.1671-6329.20230296
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The intelligent cockpit is a crucial component of automotive intelligence, where multimodal interaction serves as a core function. To explore how AI large models enable smart cockpits to achieve multimodal interaction, this paper leverages the learning and generalization capabilities of AI large models to analyze the technical framework and key technologies of multimodal interaction. It evaluates application cases from leading technology companies and automakers, including Baidu, Huawei, Tencent, and iFlytek, while also undertaking a comparative analysis of their performance. The findings reveal that the incorporation of AI large models into multimodal interaction has markedly enhanced task processing efficiency and precision, thereby enriching the human-machine interaction within intelligent cockpits. In conclusion, this paper explores the challenges and future directions for the application of AI large models in intelligent cockpits, offering valuable insights for the ongoing advancement and integration of AI technology in this domain.

New energy vehicles  /  Intelligent cockpit  /  Multimodal interaction  /  AI large models  /  Technical framework
Jianming Deng, Xunfei Gong, Qin Yu, Feng Luo, Chengliang Liao. A Survey on Intelligent Cockpit Multimodal Interaction Technology for New Energy Vehicles Based on AI Large Model[J]. Automotive Digest, 2025 , (1) : 8 -13 . DOI: 10.19822/j.cnki.1671-6329.20230296
Year 2025 volume Issue 1
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doi: 10.19822/j.cnki.1671-6329.20230296
  • Online Date:2025-11-12
  • Published:2025-01-05
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    Jiangxi Isuzu Motors Co., Ltd., Nanchang 330108
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表12种不同金属材料的力学参数

Family
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Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Number of
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Percentage of total
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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
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