WOGAN at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track

Jesper Winsten; Ivan Porres

doi:10.1109/sbft59156.2023.00009

WOGAN at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track

Information Technology

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT)
Kustantaja	IEEE
Sivut	43-44
ISBN (elektroninen)	979-8-3503-0182-3
ISBN (painettu)	979-8-3503-0183-0
DOI - pysyväislinkit	https://doi.org/10.1109/sbft59156.2023.00009
Tila	Julkaistu - 2023
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	IEEE/ACM International Workshop on Search-Based and Fuzz Testing - Kesto: 14 toukok. 2023 → …

Konferenssi

Konferenssi	IEEE/ACM International Workshop on Search-Based and Fuzz Testing
Lyhennettä	SBFT
Ajanjakso	14/05/23 → …

Pääsy asiakirjaan

10.1109/sbft59156.2023.00009

Viittausmuodot

@inproceedings{7fb39007267b498087e76ce698ae9c1f,

title = "WOGAN at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track",

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.",

author = "Jesper Winsten and Ivan Porres",

year = "2023",

doi = "10.1109/sbft59156.2023.00009",

language = "English",

isbn = "979-8-3503-0183-0",

pages = "43--44",

booktitle = "2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT)",

publisher = "IEEE",

address = "United States",

note = "IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT ; Conference date: 14-05-2023",

}

TY - GEN

T1 - WOGAN at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track

AU - Winsten, Jesper

AU - Porres, Ivan

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

U2 - 10.1109/sbft59156.2023.00009

DO - 10.1109/sbft59156.2023.00009

M3 - Conference contribution

SN - 979-8-3503-0183-0

SP - 43

EP - 44

BT - 2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT)

PB - IEEE

T2 - IEEE/ACM International Workshop on Search-Based and Fuzz Testing

Y2 - 14 May 2023

ER -

WOGAN at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track

Abstrakti

Konferenssi

Pääsy asiakirjaan

Sormenjälki

Viittausmuodot