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Distributed Accelerated Concurrency Testing Method for Automated Driving System

delete2023-12-01
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PRE
AI
张
张培兴 (Peixing Zhang)
B
Bing Zhu *
J
Jian Zhao
T
Tianxin Fan
W
Weiwen Deng
DOI:10.1109/TVT.2023.3295366delete
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摘要

摘要

En 中文
Recently, the scenario-based test method has become essential for the safety verification of automated vehicles (AVs). However, with the increased functionality of automated driving systems (ADSs) and the expansion of the operational designed domain (ODD), the number of scenario elements that need to be tested has rapidly increased, leading to an explosion of concrete scenarios to be tested. Accordingly, the accelerated test methods targeting the enhanced generation of hazardous concrete scenarios have become the main trend of AV tests. However, existing methods mainly adopt serial processing, which cannot provide multi-threaded parallelism. This paper proposes a distributed accelerated concurrency testing (ACT) method for ADS, which combines an accelerated test method with traditional concurrent testing. The test frame is divided into three layers: a top-layer manager, middle-layer scheduler, and bottom-layer executor. Then, the specific tasks of roles at different layers are determined; for instance, the coverage of a middle-layer scheduler and the test parameters of a bottom-layer executor. In addition, the modified Ackley function is used for preliminary verification of the effectiveness of the proposed test method. Finally, a black-box AV algorithm is tested in the front vehicle cut-in scenario in a virtual environment using the proposed ACT method, traversal concurrency testing method, accelerated serial testing method, and traversal serial testing method. The test results show that the proposed ACT method can effectively find dangerous concrete scenarios in the logical scenario parameter space and reduce the testing time significantly compared to the other three methods.
Keyword:
Automated vehicle
scenario-based test
accelerated test
parallelism test
particle swarm algorithm

期刊

IEEE Transactions on Vehicular Technology 封面图
IEEE Transactions on Vehicular Technology
IF:
7.1
论文数:
1.8W
被引数:
6.6W

机构

B
Beihang University
学者数:
5.2W
论文数: 4.1W
被引数: 37
J
Jilin University
学者数:
8.7W
论文数: 5.6W
被引数: 8.9K
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