- Tytuł:
- Radar-based detection and recognition methodology of autonomous surface vehicles in challenging marine environment
- Autorzy:
-
Korban, Dmytro
Melnyk, Oleksiy
Onishchenko, Oleg
Kurdiuk, Serhii
Shevchenko, Valerii
Obniavko, Tatyana - Tematy:
-
autonomous surface vehicles
object detection and ranging
radar technology
adverse weather conditions
atmospheric interference
environmental factors
signal characteristics
vessel particulars
sensor performance
adaptability
shipping
navigation
influence factors
detection accuracy
autonomiczne pojazdy naziemne
wykrywanie obiektów i pomiar odległości
technologia radarowa
niekorzystne warunki pogodowe
zakłócenia atmosferyczne
czynniki środowiskowe
charakterystyka sygnału
dane statku
wydajność czujnika
zdolność adaptacji
żegluga
nawigacja
czynniki wpływające
dokładność detekcji - Pokaż więcej
- Wydawca:
- Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
- Powiązania:
- https://bibliotekanauki.pl/articles/58909632.pdf Link otwiera się w nowym oknie
- Opis:
- This paper presents a methodology that combines radar polarization selection and recognition techniques for navigating objects in atmospheric formations, with a special focus on unmanned surface vehicles (ASVs). The proposed technique utilizes the concept of an energy dissipation matrix to represent these objects as characteristic “shiny dots”. By strategically changing the polarization of the emitted and received electromagnetic waves, the resulting echo energy dissipation matrix is determined. This approach allows the formation of an intensity-based repository of atmospheric formations, which gives SRPC a complete set of tools to account for atmospheric conditions in radar identification of remote objects, including ASVs. The practical application of this technique extends to the improvement of a distinct class of shipborne radar systems optimized for ASVs and their specific navigation requirements. Ultimately, this technology bridges the gap between advanced radar technology and the emerging field of unmanned ground vehicles, providing safer and more proficient navigation in challenging weather conditions.
- Dostawca treści:
- Biblioteka Nauki
Artykuł