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山东大学学报 (工学版) ›› 2022, Vol. 52 ›› Issue (6): 30-40.doi: 10.6040/j.issn.1672-3961.0.2022.215

• 交通工程——智慧交通专题 • 上一篇    

基于双层混合集成的自动驾驶汽车故障检测

闵海根1,2,3,雷小平1,李杰4,童星4,吴霞1,3*,方煜坤1   

  1. 1.长安大学信息工程学院, 陕西 西安 710064;2.西部交通安全与智能协同控制省部共建协同创新中心, 陕西 西安 710021;3.长安大学“车联网”教育部-中国移动联合实验室, 陕西 西安 710021;4.山东高速信息集团有限公司, 山东 济南 250014
  • 发布日期:2022-12-23
  • 作者简介:闵海根(1990— ),男,陕西安康人,副教授,博士,主要研究方向为智慧交通、智能网联汽车故障诊断及车路协同管控. E-mail: hgmin@chd.edu.cn. *通信作者简介:吴霞(1992— ),女,山西孝义人,讲师,博士,主要研究方向为混合交通流主动控制方法. E-mail: wuxia@chd.edu.cn.
  • 基金资助:
    国家重点研发计划项目(2021YFB2501205);国家自然科学基金青年项目(61903046);陕西省自然科学青年基金(2022JQ-663)

Fault detection of autonomous vehicle based on bi-layer hybrid ensemble

MIN Haigen1,2,3, LEI Xiaoping1, LI Jie4, TONG Xing4, WU Xia1,3*, FANG Yukun1   

  1. 1. School of Information and Engineering, Chang'an University, Xi'an 710064, Shaanxi, China;
    2. Collaborative Innovation Center for Western China Traffic Safety and Intelligent Cooperative Control, Xi'an 710021, Shaanxi, China;
    3. The Joint Laboratory for Internet of Vehicles, Ministry of Education-China Mobile Communications Corporation, Chang'an University, Xi'an 710021, Shaanxi, China;
    4. Shandong Hi-Speed Information Group Co. Ltd., Jinan 250014, Shandong, China
  • Published:2022-12-23

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摘要： 针对单一故障检测算法难以学习到数据样本全部特征的问题,提出基于双层混合集成的无监督自动驾驶汽车故障检测方法。使用非全连接的自动编码器作为基学习器构建第1层同质集成框架——集成自动编码器,分析和选择包含集成自动编码器、一类支持向量机、孤立森林和局部离群因子的基学习器构建第2层异质多模型集成框架,学习自动驾驶汽车正常传感器数据特征;提出基于自动编码器的投票集成方法,实现基学习器特征的降维和编码融合;通过sigmoid函数映射计算故障概率并对数据是否故障进行判断。试验结果表明,提出的双层混合集成故障检测方法性能优于基学习器算法,F1指标提高了9%~40%,G指标提高了2%~28%,该故障检测方法可有效实现自动驾驶汽车故障检测。

关键词: 自动驾驶汽车, 故障检测, 集成学习, 自动编码器, 无监督学习

中图分类号: 

  • TP391
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