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Abstract
Autonomous vehicles (AV) have the potential to improve road transport, but faults in the autonomous driving software can result in serious accidents. To assess the safety of AV driving software, we need to consider the wide variety and diversity of situations that it may encounter. Explicit situation coverage has previously been presented, but its usefulness has received a little empirical scrutiny. In this study, we evaluate a situation coverage based safety testing approach by comparing the performance of random and situation coverage-based test generation in terms of its ability to detect seeded faults in our ego AV at a road intersection under diverse environmental conditions. Our results suggest that this implementation of situation coverage, at least, does not provide an advantage over random generation.
Original language | English |
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Title of host publication | LADC 2023: 12th Latin-American Symposium on Dependable and Secure Computing |
Publisher | ACM |
Pages | 208-213 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 20 Oct 2023 |
Event | LADC 2023: 12th Latin-American Symposium on Dependable and Secure Computing - La Paz, Bolivia, Plurinational State of Duration: 16 Oct 2023 → 20 Oct 2023 |
Conference
Conference | LADC 2023: 12th Latin-American Symposium on Dependable and Secure Computing |
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Country/Territory | Bolivia, Plurinational State of |
City | La Paz |
Period | 16/10/23 → 20/10/23 |
Bibliographical note
© 2023 Copyright held by the owner/author(s). This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.Projects
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