Intelligence Testing for Autonomous Vehicles: A New Approach

被引：168

作者：

Li, Li ^{[1
,2
]}

Huang, Wu-Ling ^{[3
]}

Liu, Yuehu ^{[4
]}

Zheng, Nan-Ning ^{[4
]}

Wang, Fei-Yue ^{[3
]}

机构：

[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China

[2] Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing 210096, Peoples R China

[3] Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100080, Peoples R China

[4] Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Peoples R China

来源：

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES | 2016年 / 1卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Autonomous vehicles; intelligence testing;

D O I：

10.1109/TIV.2016.2608003

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：158 / 166

页数：9

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