Szczegóły publikacji
Opis bibliograficzny
Automotive perception system evaluation with reference data from a UAV’s camera using ArUco markers and DCNN / Krzysztof BŁACHUT, Michał DANIŁOWICZ, Hubert SZOLC, Mateusz WĄSALA, Tomasz KRYJAK, Mateusz Komorkiewicz // Journal of Signal Processing Systems for Signal, Image, and Video Technology ; ISSN 1939-8018 . — Tytuł poprz.: Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology ; ISSN: 1387-5485. — 2022 — vol. 94 iss. 7 spec. iss.: Design and Architectures for Signal and Image Processing 2021, s. 675–692. — Bibliogr. s. 691–692, Abstr. — Publikacja dostępna online od: 2022-01-31. — M. Komorkiewicz - afiliacja: Aptiv, Krakow. — 14th Workshop on design and architectures for signal and image processing : held in conjunction with the 16th HiPEAC conference : Budapest, Hungary, January 18–20, 2021
Autorzy (6)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 141200 |
|---|---|
| Data dodania do BaDAP | 2022-07-21 |
| Tekst źródłowy | URL |
| DOI | 10.1007/s11265-021-01734-3 |
| Rok publikacji | 2022 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Signal Processing Systems for Signal, Image, and Video Technology |
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 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 a test track. Two computer vision methods are used to precisely determine the positions of the objects around the car - one based on ArUco markers and the other on a DCNN (we provide the algorithms used on GitHub). The detections are then correlated with the perception system readings. For the static and dynamic experiments, the differences between various systems are mostly below 0.5 m. The results of the experiments performed indicate that this approach could be an interesting alternative to existing evaluation solutions.
