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Development Research and Prospects on Automated Driving Vehicle Industry
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Leilei Li
Automotive Digest | 2023, (9) : 1 - 10
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Automotive Digest | 2023, (9): 1-10
Special Topic on Technologies of Intelligent and Connected NEVs
Development Research and Prospects on Automated Driving Vehicle Industry
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Leilei Li
Affiliations
  • Virtual Teaching and Research Office of Deep Learning Course Group in Key Areas, School of Engineering, Shanghai Sanda University, Shanghai 201209
Published: 2023-09-05 doi: 10.19822/j.cnki.1671-6329.20220289
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In order to study the development progress and trends of the automated driving vehicle industry, current technological development status domestic and overseas are summarized, the analysis of the key and core technologies, and risks related to automated driving vehicle are carried out by utilizing the methods of data analysis and technological trend analysis. Research results indicate that the current situation of automated driving vehicle is that high-performance and cost-effective vehicles with driver-assistance have dominated the markets and commercial operations of highly automated and fully automated driving in multi-scenarios have started in. The rapid development of Artificial Intelligence (AI) has promoted the commercialization of automated driving vehicle. The development of automated driving vehicles shows the future trends of high-level intelligence, electrification, multi-domain integration, aid with generative large model, safety and convenience, low carbon and environmental protection.

Automated driving  /  AI  /  High-precision map  /  Data security  /  5G communication  /  Transformer
Leilei Li. Development Research and Prospects on Automated Driving Vehicle Industry[J]. Automotive Digest, 2023 , (9) : 1 -10 . DOI: 10.19822/j.cnki.1671-6329.20220289
Year 2023 volume Issue 9
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doi: 10.19822/j.cnki.1671-6329.20220289
  • Online Date:2026-01-04
  • Published:2023-09-05
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    Virtual Teaching and Research Office of Deep Learning Course Group in Key Areas, School of Engineering, Shanghai Sanda University, Shanghai 201209
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表12种不同金属材料的力学参数

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