A Test Scenario Automatic Generation Strategy for Intelligent Driving Systems
Joint Authors
Gao, Feng
He, Yingdong
Wang, Zilong
Duan, Jianli
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this paper, a methodology of automatic generation of test scenarios for intelligent driving systems is proposed, which is based on the combination of the test matrix (TM) and combinatorial testing (CT) methods together.
With a hierarchical model of influence factors, an evaluation index for scenario complexity is designed.
Then an improved CT algorithm is proposed to make a balance between test efficiency, condition coverage, and scenario complexity.
This method can ensure the required combinational coverage and at the same time increase the overall complexity of generated scenarios, which is not considered by CT.
Furthermore, the way to find the best compromise between efficiency and complexity and the bound of scenario number has been analyzed theoretically.
To validate the effectiveness, it has been applied in the hardware-in-the-loop (HIL) test of a lane departure warning system (LDW).
The results show that the proposed method can ensure required coverage with a significantly improved scenario complexity, and the generated test scenario can find system defects more efficiently.
American Psychological Association (APA)
Gao, Feng& Duan, Jianli& He, Yingdong& Wang, Zilong. 2019. A Test Scenario Automatic Generation Strategy for Intelligent Driving Systems. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1195259
Modern Language Association (MLA)
Gao, Feng…[et al.]. A Test Scenario Automatic Generation Strategy for Intelligent Driving Systems. Mathematical Problems in Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1195259
American Medical Association (AMA)
Gao, Feng& Duan, Jianli& He, Yingdong& Wang, Zilong. A Test Scenario Automatic Generation Strategy for Intelligent Driving Systems. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1195259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195259