Szczegóły publikacji
Opis bibliograficzny
Automotive perception system evaluation with reference data obtained by a UAV / Krzysztof BŁACHUT, Michał DANIŁOWICZ, Hubert SZOLC, Mateusz WĄSALA, Tomasz KRYJAK, Nikodem PANKIEWICZ, Mateusz Komorkiewicz // W: DASIP 2021 [Dokument elektroniczny] : workshop on Design and Architectures for Signal and Image Processing - 14th edition : January 18–20 2021, Budapest, Hungary : proceedings. — Wersja do Windows. — Dane tekstowe. — [Nowy Jork] : Association for Computing Machinery, cop. 2021. — e-ISBN: 978-1-4503-8901-3. — S. 10–18. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 18, Abstr. — M. Komorkiewicz - afiliacha: Aptiv, Krakow
Autorzy (7)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 132409 |
|---|---|
| Data dodania do BaDAP | 2021-02-04 |
| Tekst źródłowy | URL |
| DOI | 10.1145/3441110.3441151 |
| Rok publikacji | 2021 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Association for Computing Machinery (ACM) |
Abstract
Testing and evaluation of an automotive perception system is a complicated task which requires special equipment and infrastructure. To compute key performance indicators and compare the results with the real-world situation, some additional sensors and manual data labelling are often required. In this article, we propose a different approach, which is based on a UAV equipped with a 4K camera flying above the test track. Thanks to the synchronisation of the sensors between the tested vehicle and the UAV, it is possible to precisely determine the positions of the objects around the car and correlate them with the perception system readings. The performed experiments indicate that this approach could be an interesting alternative to the existing evaluation solutions.
