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Abstract
WOGAN 2023 is an online test generation tool based on Wasserstein generative adversarial networks. We show how it can be applied to the SBFT 2023 competition to generate failure-inducing roads to test the lane keeping assist system of an autonomous car. The WOGAN 2023 tool is based on a previous entry to the competition. Here, we present improvements to WOGAN in the form of a combined fitness function based on the body out of lane percentage and the distance from the center of the lane. We also use road rotations in the road generation stage for greater test diversity.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT) |
| Publisher | IEEE |
| Pages | 43-44 |
| ISBN (Electronic) | 979-8-3503-0182-3 |
| ISBN (Print) | 979-8-3503-0183-0 |
| DOIs | |
| Publication status | Published - 2023 |
| MoE publication type | A4 Article in a conference publication |
| Event | IEEE/ACM International Workshop on Search-Based and Fuzz Testing - Duration: 14 May 2023 → … |
Conference
| Conference | IEEE/ACM International Workshop on Search-Based and Fuzz Testing |
|---|---|
| Abbreviated title | SBFT |
| Period | 14/05/23 → … |
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Dive into the research topics of 'WOGAN at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track'. Together they form a unique fingerprint.Projects
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AIDOaRT
Porres Paltor, I. (Principal Investigator), Truscan, D. (Co-Principal Investigator), Nybom, K. (Co-Investigator) & Logacheva, E. (Co-Investigator)
01/04/21 → 30/09/24
Project: EU