收藏切换
Research on Autonomous Driving Scenarios Library Based on Real Traffic Data
收藏切换
PDF
Fangdan Zheng, Juan Song, Pengfei Lu
Automotive Engineer | 2024, (7) : 11 - 17
Less
收藏切换
Automotive Engineer | 2024, (7): 11-17
Special Topic on Simulation Test and Scenarios Generation Technology for Autonomous Vehicle
Research on Autonomous Driving Scenarios Library Based on Real Traffic Data
Full
Fangdan Zheng, Juan Song, Pengfei Lu
Affiliations
  • Beijing Connected and Autonomous Vehicles Technology Co., Ltd., Beijing 100176
Published: 2024-07-15 doi: 10.20104/j.cnki.1674-6546.20240059
Outline
收藏切换

This paper takes the autonomous driving scenario library as the research object,and by analyzing shortcomings of autonomous driving scenario library and industry demand, and formes a set of operation guidelines for autonomous driving scenarios construction based on real world traffic data. Firstly, the elements and formats of autonomous driving scenarios have been illustrated and standardized. Secondly, scenario datasets are generated by a three-step procedure, including scenario mining, automated annotating and data compliance desensitization. Finally, a set of safe, compliant, high-quality, and high-value city level challenging autonomous driving scenarios was ultimately formed by risk assessment of real collection scenarios and standardized processing of abnormal events.

Traffic data  /  Autonomous driving  /  Scenario library  /  Data compliance
Fangdan Zheng, Juan Song, Pengfei Lu. Research on Autonomous Driving Scenarios Library Based on Real Traffic Data[J]. Automotive Engineer, 2024 , (7) : 11 -17 . DOI: 10.20104/j.cnki.1674-6546.20240059
Year 2024 volume Issue 7
PDF
284
134
Cite this Article
BibTeX
Article Info
doi: 10.20104/j.cnki.1674-6546.20240059
  • Online Date:2025-11-25
  • Published:2024-07-15
Article Data
Affiliations
History
  • Revised:2024-03-25
Funding
Affiliations
    Beijing Connected and Autonomous Vehicles Technology Co., Ltd., Beijing 100176
References
Share
https://castjournals.cast.org.cn/joweb/qcgcs/EN/10.20104/j.cnki.1674-6546.20240059
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