Szczegóły publikacji
Opis bibliograficzny
Real-time image content assessment for underwater robot manoeuvring based on structural tensor analysis / Jakub Nawała, Bogusław CYGANEK // W: Proceedings of the 10th international Conference on Computer Recognition Systems CORES 2017 : [22–24 May 2017, Polanica-Zdrój, Poland] / eds. Marek Kurzyński, [et al.]. — Switzerland : Springer, cop. 2018. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 578). — ISBN: 978-3-319-59161-2; e-ISBN: 978-3-319-59162-9. — S. 462–471. — Bibliogr. s. 470–471, Abstr. — Publikacja dostępna online od: 2017-05-07
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 106092 |
|---|---|
| Data dodania do BaDAP | 2017-06-09 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-59162-9_48 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Wydawca | Springer |
| Konferencja | 10th International Conference on Computer Recognition Systems |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
The paper presents an efficient method for real-time image analysis for manoeuvring of the underwater robot. Image analysis is done after computing the structural tensor components which unveil rich texture and texture-less areas. To allow a power efficient underwater operation in real-time the method is implemented on the Jetson TK1 self-standing graphics card using the CUDA compute architecture. The laboratory experimental results show that the system is capable of processing about 40 Full HD images per second while allowing orientation toward texture specific regions for obstacle avoidance.
