Intelligence testing for autonomous vehicles: A new approach
文献类型:期刊论文
作者 | Li Li![]() ![]() ![]() |
刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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出版日期 | 2016-06 |
卷号 | 1期号:2页码:158-166 |
关键词 | Autonomous Vehicles Intelligence Testing |
英文摘要 |
In this paper, we study how to test the intelligence of an autonomous vehicle. Comprehensive testing is crucial to both vehicle manufactories and customers. Existing testing approaches can be categorized into two kinds: scenario-based testing and functionality-based testing. We first discuss the shortcomings of these two kinds of approaches, and then propose a new testing framework to combine the benefits of them. Based on the new semantic diagram definition for the intelligence of autonomous vehicles, we explain how to design a task for autonomous vehicle testing and how to evaluate test results. Experiments show that this new approach provides a quantitative way to test the intelligence of an autonomous vehicle. |
源URL | [http://ir.ia.ac.cn/handle/173211/20278] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
通讯作者 | Wu-Ling Huang |
作者单位 | 1.Department of Automation, Tsinghua University 2.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 3.Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University 4.Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University 5.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Li Li,Wu-Ling Huang,Yuehu Liu,et al. Intelligence testing for autonomous vehicles: A new approach[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2016,1(2):158-166. |
APA | Li Li,Wu-Ling Huang,Yuehu Liu,Nan-Ning Zheng,&Fei-Yue Wang.(2016).Intelligence testing for autonomous vehicles: A new approach.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,1(2),158-166. |
MLA | Li Li,et al."Intelligence testing for autonomous vehicles: A new approach".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 1.2(2016):158-166. |
入库方式: OAI收割
来源:自动化研究所
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