A Review on Scenario Generation for Testing Autonomous Vehicles

Jinkang Cai; Shichun Yang; Haoran Guang

doi:10.1109/IV55156.2024.10588675

A Review on Scenario Generation for Testing Autonomous Vehicles

Jinkang Cai
, Shichun Yang^*
, Haoran Guang

^*此作品的通讯作者

交通科学与工程学院

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

10 引用（Scopus）

摘要

Autonomous driving holds great potential for reducing traffic accidents. Despite many advancements in autonomous vehicle functions, challenges persist in assessing their safety. Scenario-Based Testing (SBT) has gained prominence for evaluating these vehicles. This review succinctly analyzes established and innovative strategies used to generate scenarios for SBT, outlining crucial challenges and current research focal points. Valuable insights are provided for researchers and engineers addressing safety concerns about autonomous vehicles by scenario-based testing.

源语言	英语
主期刊名	35th IEEE Intelligent Vehicles Symposium, IV 2024
出版商	Institute of Electrical and Electronics Engineers Inc.
页	3371-3376
页数	6
ISBN（电子版）	9798350348811
DOI	https://doi.org/10.1109/IV55156.2024.10588675
出版状态	已出版 - 2024
活动	35th IEEE Intelligent Vehicles Symposium, IV 2024 - Jeju Island, 韩国期限: 2 6月 2024 → 5 6月 2024

出版系列

姓名	IEEE Intelligent Vehicles Symposium, Proceedings
ISSN（印刷版）	1931-0587
ISSN（电子版）	2642-7214

会议

会议	35th IEEE Intelligent Vehicles Symposium, IV 2024
国家/地区	韩国
市	Jeju Island
时期	2/06/24 → 5/06/24

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1109/IV55156.2024.10588675

其它文件与链接

链接到 Scopus 的出版物

引用此

@inproceedings{13493386c39d4bdfbe7c227866d7c7a2,

title = "A Review on Scenario Generation for Testing Autonomous Vehicles",

abstract = "Autonomous driving holds great potential for reducing traffic accidents. Despite many advancements in autonomous vehicle functions, challenges persist in assessing their safety. Scenario-Based Testing (SBT) has gained prominence for evaluating these vehicles. This review succinctly analyzes established and innovative strategies used to generate scenarios for SBT, outlining crucial challenges and current research focal points. Valuable insights are provided for researchers and engineers addressing safety concerns about autonomous vehicles by scenario-based testing.",

keywords = "autonomous driving, scenario generation, scenario-based testing, vehicle testing",

author = "Jinkang Cai and Shichun Yang and Haoran Guang",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 35th IEEE Intelligent Vehicles Symposium, IV 2024 ; Conference date: 02-06-2024 Through 05-06-2024",

year = "2024",

doi = "10.1109/IV55156.2024.10588675",

language = "英语",

series = "IEEE Intelligent Vehicles Symposium, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3371--3376",

booktitle = "35th IEEE Intelligent Vehicles Symposium, IV 2024",

address = "美国",

}

Cai, J, Yang, S & Guang, H 2024, A Review on Scenario Generation for Testing Autonomous Vehicles. 在 35th IEEE Intelligent Vehicles Symposium, IV 2024. IEEE Intelligent Vehicles Symposium, Proceedings, Institute of Electrical and Electronics Engineers Inc., 页码 3371-3376, 35th IEEE Intelligent Vehicles Symposium, IV 2024, Jeju Island, 韩国, 2/06/24. https://doi.org/10.1109/IV55156.2024.10588675

TY - GEN

T1 - A Review on Scenario Generation for Testing Autonomous Vehicles

AU - Cai, Jinkang

AU - Yang, Shichun

AU - Guang, Haoran

PY - 2024

Y1 - 2024

N2 - Autonomous driving holds great potential for reducing traffic accidents. Despite many advancements in autonomous vehicle functions, challenges persist in assessing their safety. Scenario-Based Testing (SBT) has gained prominence for evaluating these vehicles. This review succinctly analyzes established and innovative strategies used to generate scenarios for SBT, outlining crucial challenges and current research focal points. Valuable insights are provided for researchers and engineers addressing safety concerns about autonomous vehicles by scenario-based testing.

AB - Autonomous driving holds great potential for reducing traffic accidents. Despite many advancements in autonomous vehicle functions, challenges persist in assessing their safety. Scenario-Based Testing (SBT) has gained prominence for evaluating these vehicles. This review succinctly analyzes established and innovative strategies used to generate scenarios for SBT, outlining crucial challenges and current research focal points. Valuable insights are provided for researchers and engineers addressing safety concerns about autonomous vehicles by scenario-based testing.

KW - autonomous driving

KW - scenario generation

KW - scenario-based testing

KW - vehicle testing

UR - https://www.scopus.com/pages/publications/85199778314

U2 - 10.1109/IV55156.2024.10588675

DO - 10.1109/IV55156.2024.10588675

M3 - 会议稿件

AN - SCOPUS:85199778314

T3 - IEEE Intelligent Vehicles Symposium, Proceedings

SP - 3371

EP - 3376

BT - 35th IEEE Intelligent Vehicles Symposium, IV 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 35th IEEE Intelligent Vehicles Symposium, IV 2024

Y2 - 2 June 2024 through 5 June 2024

ER -

A Review on Scenario Generation for Testing Autonomous Vehicles

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此