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Home > Archive>Volume 32, Issue 7, 2021 >2056-2077. DOI:10.13328/j.cnki.jos.006266
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Survey on Testing of Intelligent Systems in Autonomous Vehicles
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National Natural Science Foundation of China (61872263, 61802275, 62002256, U1836214); Intelligent Manufacturing Special Fund of Tianjin (20193155); Innovation Research Project of Tianjin University (2020XZC-0042)

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    Abstract:

    With the development of artificial intelligence, autonomous vehicles have become a typical application in the field of artificial intelligence. In recent 10 years, autonomous vehicles have already made considerable processes. As an uncertain system, their quality and safety have attracted much attention. Autonomous vehicletesting, especially testing the intellectual systems in autonomous vehicles (such as perception module, decision module, synthetical functional module, and the whole vehicle) gain extensive attention from both industry and academia. This survey offers a systematical review on 56 papers related to autonomous vehicle testing. Besides, this survey analyzes the testing techniques with respect to perception model, decision model, synthetical functional module, and the whole vehicle, including test case generation approaches, testing coverage metrics, as well as datasets and tools widely used in autonomous vehicle testing. Finally, this survey highlights future perspectiveson autonomous vehicle testing and provides reference for researchers in this field.

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朱向雷,王海弛,尤翰墨,张蔚珩,张颖异,刘爽,陈俊洁,王赞,李克秋.自动驾驶智能系统测试研究综述.软件学报,2021,32(7):2056-2077

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History
  • Received:September 15,2020
  • Revised:October 26,2020
  • Online: January 22,2021
  • Published: July 06,2021
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