首页|变道切入场景下ADAS系统测试与评价研究

变道切入场景下ADAS系统测试与评价研究

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原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
  • 维普
为了满足变道切入场景下的ADAS系统测试评价需求，提出一种考虑场景风险系数的变道切入场景生成方法和客观综合评价模型。通过采集自然驾驶数据，采用阈值法自动提取变道切入功能场景并深入分析变道切入行为特征。使用单因素方差分析法与皮尔逊相关性检验法共同分析场景风险系数与场景要素的相关性来确定关键场景要素。结合K-means算法对离散逻辑场景参数进行聚类，从而得到5个典型测试场景。基于场景风险系数，采用AHP与CRITIC法构建多层次综合评价模型，采用灰色关联理论对ADAS系统进行客观评价。借助VTD仿真软件构建变道切入虚拟测试场景库，进行仿真试验验证。结果表明，相关性分析使场景要素维度降低了60%，生成的测试场景可以有效验证ADAS系统的综合性能，综合评价模型可对ADAS系统表现进行客观有效的评价，为智能驾驶系统开发提供有效参考。
Research on Testing and Evaluation of ADAS Systems in Lane Change Cut-in Scenarios
To meet the requirements for testing and evaluating ADAS systems in lane change cut-in scenarios,the paper proposes a method for generating such scenarios and an objective,comprehensive evaluation model considering the scenario risk coefficients.By collecting natural driving data,the threshold method is used to automatically extract lane change cut-in function scenarios and deeply analyze the lane change cut-in behavior characteristics.The correlation between scenario risk coefficients and scenario elements is jointly analyzed using one-way ANOVA and Pearson's correlation test to identify key scenario elements.Furthermore,by applying the K-means clustering method to the parameters of discrete logic scenarios,five typical test scenarios are obtained.Based on the scenario risk coefficient,the AHP and CRITIC methods are used to construct a multi-level comprehensive evaluation model.The ADAS system is objectively evaluated using the gray correlation theory.Finally,the VTD simulation software is used to create a virtual test scene library for lane change cut-in scenarios for simulation testing and validation.The results show that correlation analysis reduces the dimensionality of scenario elements by 60%.The generated test scenarios can effectively validate the comprehensive performance of the ADAS system.Moreover,the comprehensive evaluation model can objectively and effectively evaluate the performance of the ADAS system,providing a valuable reference for the development of intelligent driving systems.

lane change cut-in scenarioADAS systemnatural driving datagray correlation theoryobjective evaluation

宋越、曾杰、胡雄、刘维镇、李文礼

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重庆理工大学 汽车零部件先进制造技术教育部重点实验室,重庆 400054

招商局检测车辆技术研究院有限公司,重庆 401122

变道切入场景 ADAS系统 自然驾驶数据 灰色关联理论 客观评价

重庆市自然科学基金面上项目重庆市留学人员回国创业创新支持计划重庆市教委科学技术研究计划重庆市技术创新与应用发展专项重大项目重庆市研究生科研创新项目

cstc2021jcyjmsxmX0183CX2021070KJQN202201170CSTB2022TIAD-STX0003gzlcx20242002

2024

10.3969/j.issn.2095?1469.2024.03.04

汽车工程学报
中国汽车工程研究院股份有限公司

汽车工程学报

CSTPCD
影响因子：0.35
ISSN：2095-1469
年,卷(期)：2024.14(3)
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