Retraction Notice: Development and Testing of Advanced Driver Assistance Systems Through Scenario-Based Systems Engineering

Advanced driver assistance systems (ADAS) hold great promise for improving transportation safety and efficiency. However, the development of these technologies requires a robust and systematic engineering process to ensure their reliable and safe operation in various traffic situations. In this letter, we present a scenario-based systems engineering for the development and test of advanced driver assistance systems, drawing insights from a real automotive proving ground. This letter is the second part of Decentralized and Hybrid Workshop (DHW) on Scenarios Engineering (SE), which aims to improve scenario diversity and representation for advanced driver assistance systems. The article proposes a 5-layer scenario architecture and also describes several key tasks that must be addressed in the ADAS, such as lane keeping assistance (LSK), adaptive cruise control (ACC) and autonomous emergency braking (AEB). Additionally, we elaborate on the testing challenges that the aforementioned tasks entail. Finally, we employ clustering methods to obtain 9 crucial scenarios of LKA, which can be utilized for ADAS testing.

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Publication Details

Journal
IEEE Transactions on Intelligent Vehicles
Published
2024-11-21
DOI
https://doi.org/10.1109/tiv.2024.3502536
Citations
1
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
0.36
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Retraction Notice: Development and Testing of Advanced Driver Assistance Systems Through Scenario-Based Systems Engineering

Rui Song, Xuan Li, Mingyang Liu, Junfeng Fan et al.
1 citations
IEEE Transactions on Intelligent Vehicles
Safety Systems Engineering in Autonomy
0.36
article

Retraction Notice: Development and Testing of Advanced Driver Assistance Systems Through Scenario-Based Systems Engineering

Rui Song, Xuan Li, Mingyang Liu, Junfeng Fan, Fei‐Yue Wang
article en
1 citations

Abstract

Advanced driver assistance systems (ADAS) hold great promise for improving transportation safety and efficiency. However, the development of these technologies requires a robust and systematic engineering process to ensure their reliable and safe operation in various traffic situations. In this letter, we present a scenario-based systems engineering for the development and test of advanced driver assistance systems, drawing insights from a real automotive proving ground. This letter is the second part of Decentralized and Hybrid Workshop (DHW) on Scenarios Engineering (SE), which aims to improve scenario diversity and representation for advanced driver assistance systems. The article proposes a 5-layer scenario architecture and also describes several key tasks that must be addressed in the ADAS, such as lane keeping assistance (LSK), adaptive cruise control (ACC) and autonomous emergency braking (AEB). Additionally, we elaborate on the testing challenges that the aforementioned tasks entail. Finally, we employ clustering methods to obtain 9 crucial scenarios of LKA, which can be utilized for ADAS testing.

IEEE Transactions on Intelligent Vehicles
Chinese Academy of Sciences (CN), Chang'an University (CN), China Automotive Technology and Research Center (CN), Institute of Automation (CN), Peng Cheng Laboratory (CN)
Partnerships for the goals
Openalex Percentile: Top 38%
Safety Systems Engineering in Autonomy
0.36
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