Research on screening methods of autonomous driving dangerous test cases based on Carmaker

Zhiqiang Zhang; Shaohua Liu; Cheng Zhang; HongFei Li

doi:10.1117/12.2613892

10 November 2021 Research on screening methods of autonomous driving dangerous test cases based on Carmaker

Zhiqiang Zhang, Shaohua Liu, Cheng Zhang, HongFei Li

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120500L (2021) https://doi.org/10.1117/12.2613892
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

Autonomous driving vehicle is the mainstream trend of the development of the automotive industry at home and abroad. In the process of its research and development, many safety problems are frequently exposed. Therefore, the safety test of autonomous driving vehicles is particularly important. Autonomous driving vehicle testing can be carried out in three aspects: virtual simulation test, proving ground test and real road test. Among them, proving ground test , as a kind of real vehicle test, mainly tests typical dangerous scenarios. Based on the simulation software Carmaker, a method of automatic generation of simulation test cases is proposed in this paper. The method defines different parameter variables and parameter boundary, realizes the automatic combination of parameters through the editing and running of the code, and improves the efficiency of simulation test and the coverage of test cases. Through the high-efficiency and high-coverage hardware-in-the-loop simulation test, the dangerous test cases of typical scenarios are screened out for the proving ground test, so as to make the proving ground test more targeted and improve the efficiency of the proving ground test. Meanwhile, combination of virtual simulation and proving ground in actual test is able to ensure simulation result effectiveness.

Citation Download Citation

Zhiqiang Zhang, Shaohua Liu, Cheng Zhang, and HongFei Li "Research on screening methods of autonomous driving dangerous test cases based on Carmaker", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120500L (10 November 2021); https://doi.org/10.1117/12.2613892

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Roads

Virtual reality

Device simulation

Safety

Computer simulations

Analytical research

Radar

Show All Keywords

Keywords/Phrases

Search In:

Publication Years