Szczegóły publikacji
Opis bibliograficzny
An approach for evaluating the completeness of the test scenarios for the vehicle environmental perception-based systems / Paweł SKRUCH, Marcin Szelest, Paweł Kowalczyk // W: MMAR 2021 [Dokument elektroniczny] : 2021 25th international conference on Methods and Models in Automation & Robotics : August 23–26, 2021, Międzyzdroje, Poland. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2021. — e-ISBN: 978-1-7281-7380-1. — S. 133–138. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 138, Abstr. — Toż na Dysku Flash. — e-ISBN: 978-1-7281-7379-5. — M. Szelest - afiliacja: Vehicular Technology Society, Cracow
Autorzy (3)
- AGHSkruch Paweł
- Szelest Marcin
- Kowalczyk Paweł
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 135665 |
|---|---|
| Data dodania do BaDAP | 2021-09-13 |
| Tekst źródłowy | URL |
| DOI | 10.1109/MMAR49549.2021.9528454 |
| Rok publikacji | 2021 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract
An environmental perception aims to detect and classify objects existing in the vehicle’s surroundings to build a virtual representation of the world. It can be considered as an essential building block in modern advanced safety and automated driving systems. These systems implement functionalities that are very often classified as safety-critical. Testing is actually the only method to assure the required system quality and compliance with safety standards. Testing the safety aspects of automated driving systems creates a number of challenges related to the adequacy and completeness of the test cases being developed. This is because the number of possible test scenarios on the road is actually infinite and such scenarios are time- and spacedependent. In this paper, we define a qualitative and quantitative measure that can be used to evaluate the completeness and adequacy of the test scenarios and consequently limit the amount of tests needed. The measure allows to consider static aspects of the perception systems such as detection and classification, as well as dynamic aspects related to object tracking.
