Comprehensive Evaluation Method for Automated Vehicle in Multiple Virtual Logical Scenarios

被引：0

作者：

Zhang P. ^{[1
]}

Qin K. ^{[2
]}

Zhu B. ^{[1
]}

Zhao J. ^{[1
]}

Fan T. ^{[1
]}

Zhao W. ^{[3
]}

机构：

[1] Jilin University, National Key Laboratory of Automobile Chassis Integration and Bionics, Changchun

[2] China Automotive Technology & Research Center Co. ，Ltd., China Automotive Research Automotive Inspection Center, Tianjin

[3] Integrated Simulation and Sensor Laboratory, China Intelligent and Connected Vehicles（Beijing）Research Institute Co.，Ltd., Beijing

来源：

Qiche Gongcheng/Automotive Engineering | 2024年 / 46卷 / 03期

关键词：

automated vehicle; comprehension evaluation; logical scenario; simulation test; weighting analysis;

D O I：

10.19562/j.chinasae.qcgc.2024.03.001

中图分类号：

学科分类号：

摘要：

The scenario-based simulation testing method has become the core idea for automated vehicle performance verification，which splits the continuous vehicle driving process to obtain non-repetitive and independent scenario segments and tests them in virtual environment. Fitting in with the test process，a comprehensive evaluation method for automated vehicle simulation testing in multi-logical scenarios is proposed in this paper. Firstly，a comprehensive evaluation method for automated vehicle in multi-logical scenarios is established and the scenarios weighting analysis process considering both the scenario's own characteristic information and simulation test process information is defined. Then，the logical scenario's own characteristic information weighting is built by exposure degree，control loss degree and hazard degree. The simulation test process information weighting is built by simulation accuracy information，element type information，parameter space information and discrete step information. Finally，the information of front braking，front left cut-in and front right cut-in scenarios is extracted based on HighD dataset and the scenario weight is calculated through the method proposed in this paper and base algorithm test results，and the two tested algorithms’comprehensive evaluation results are obtained in multi-logical scenarios. © 2024 SAE-China. All rights reserved.

引用

页码：375 / 382

页数：7

共 12 条

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