Safety Testing of Automated Driving Systems: A Literature Review
The advancement of automation in safety-critical systems has opened the door to newer opportunities in several fields. However, the increasing complexity has led to more risks and the need for better safety assessment. Safety testing of Automated Driving Systems (ADS) became an important research to...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10296892/ |
| _version_ | 1797635415665016832 |
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| author | Fauzia Khan Mariana Falco Hina Anwar Dietmar Pfahl |
| author_facet | Fauzia Khan Mariana Falco Hina Anwar Dietmar Pfahl |
| author_sort | Fauzia Khan |
| collection | DOAJ |
| description | The advancement of automation in safety-critical systems has opened the door to newer opportunities in several fields. However, the increasing complexity has led to more risks and the need for better safety assessment. Safety testing of Automated Driving Systems (ADS) became an important research topic due to the potential benefits of reducing traffic congestion, time, and even accidents; however, safety remains an ongoing issue. We analyzed the existing literature from the past twenty-five years by performing backward snowballing to identify the proposed safety testing approaches for ADS. From 44 selected publications, we identified safety features, testing methods, techniques, tools, and datasets used for testing an ADS, considering both multi-module and end-to-end driving systems. The community is mostly focused on multi-module driving systems, working on units of functionality related to collision avoidance, lane keeping, and warnings, testing the vehicles on-road and in simulated environments with different driving scenarios, combining different methods and techniques, and proposing custom solutions. A major research gap seems to be the lack of safety testing approaches integrating the advantages of on-road testing with simulation testing. For future research, this study provides an introductory overview of the field for researchers and practitioners interested in ADS safety testing. |
| first_indexed | 2024-03-11T12:20:49Z |
| format | Article |
| id | doaj.art-6e38c3f455e442448c75066d1b987fcc |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T12:20:49Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-6e38c3f455e442448c75066d1b987fcc2023-11-07T00:02:03ZengIEEEIEEE Access2169-35362023-01-011112004912007210.1109/ACCESS.2023.332791810296892Safety Testing of Automated Driving Systems: A Literature ReviewFauzia Khan0https://orcid.org/0000-0001-9942-8709Mariana Falco1https://orcid.org/0000-0002-0959-7435Hina Anwar2https://orcid.org/0000-0002-4725-4636Dietmar Pfahl3https://orcid.org/0000-0003-2400-501XInstitute of Computer Science, University of Tartu, Tartu, EstoniaInstitute of Computer Science, University of Tartu, Tartu, EstoniaInstitute of Computer Science, University of Tartu, Tartu, EstoniaInstitute of Computer Science, University of Tartu, Tartu, EstoniaThe advancement of automation in safety-critical systems has opened the door to newer opportunities in several fields. However, the increasing complexity has led to more risks and the need for better safety assessment. Safety testing of Automated Driving Systems (ADS) became an important research topic due to the potential benefits of reducing traffic congestion, time, and even accidents; however, safety remains an ongoing issue. We analyzed the existing literature from the past twenty-five years by performing backward snowballing to identify the proposed safety testing approaches for ADS. From 44 selected publications, we identified safety features, testing methods, techniques, tools, and datasets used for testing an ADS, considering both multi-module and end-to-end driving systems. The community is mostly focused on multi-module driving systems, working on units of functionality related to collision avoidance, lane keeping, and warnings, testing the vehicles on-road and in simulated environments with different driving scenarios, combining different methods and techniques, and proposing custom solutions. A major research gap seems to be the lack of safety testing approaches integrating the advantages of on-road testing with simulation testing. For future research, this study provides an introductory overview of the field for researchers and practitioners interested in ADS safety testing.https://ieeexplore.ieee.org/document/10296892/Automated driving systemsADS safety featuresliterature reviewoperation design domainsafety testing |
| spellingShingle | Fauzia Khan Mariana Falco Hina Anwar Dietmar Pfahl Safety Testing of Automated Driving Systems: A Literature Review IEEE Access Automated driving systems ADS safety features literature review operation design domain safety testing |
| title | Safety Testing of Automated Driving Systems: A Literature Review |
| title_full | Safety Testing of Automated Driving Systems: A Literature Review |
| title_fullStr | Safety Testing of Automated Driving Systems: A Literature Review |
| title_full_unstemmed | Safety Testing of Automated Driving Systems: A Literature Review |
| title_short | Safety Testing of Automated Driving Systems: A Literature Review |
| title_sort | safety testing of automated driving systems a literature review |
| topic | Automated driving systems ADS safety features literature review operation design domain safety testing |
| url | https://ieeexplore.ieee.org/document/10296892/ |
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