Scenario Complexity Evaluation Method Of Intelligent Driving Real Road Test Based On Operational Design Condition-Reference-Cited by-同舟云学术

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Scenario Complexity Evaluation Method Of Intelligent Driving Real Road Test Based On Operational Design Condition

Published:2024-07-26 Issue: Volume:12 Page:154-162
ISSN:
Container-title:Proceedings of the 2024 Asia Pacific Conference on Computing Technologies, Communications and Networking
language:
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Author:

Zhang Linlin¹^ORCID,Sun Hang¹^ORCID,Li Zixi¹^ORCID

Affiliation:

1. Auto Standardization Research Institute, China Automotive Technology and Research Center Co., Ltd, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3685767.3687087

Reference27 articles.

1. Working Party on Automated/Autonomous and Connected Vehicles. Proposal for a second iteration of the New Assessment/Test Method for Automated Driving-Master Document[Informal Document][Z]. United Nations, 2022.

2. LIU F W, XU X Q, CHEN Z, Research on Safety Testing and Assessment Methods for Intelligent and Connected Vehicles with Autonomous Driving Functions[J]. Chinese Journal of Automotive Engineering, 2022,12(3):221-227.

3. HERMAN W. Automated vehicle symposium San Francisco[C]. San Francisco: FZD, 2016.

4. Euro NCAP, 2018a. European New Car Assessment Programme (Euro NCAP)–Test Protocol AEB VRU Systems. Retrieved 389. [EB/OL]. https://cdn.euroncap.com/November 2018.Version 1.1-with Appendices.

5. BRÜHNING B, Code of practice for evaluation of road traffic accidents[M]. Berlin: German Insurance Association, 2006.

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