Intelligence testing for autonomous vehicles: A new approach
Li Li; Wu-Ling Huang; Yuehu Liu; Nan-Ning Zheng; Fei-Yue Wang
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT VEHICLES
2016-06
Volume1Issue:2Pages:158-166
Abstract
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.
KeywordAutonomous Vehicles Intelligence Testing
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20278
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorWu-Ling Huang
Affiliation1.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
Recommended Citation
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.
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