- Tytuł:
- Terrain classification using static and dynamic texture features by uav downwash effect
- Autorzy:
-
Carvalho, João Pedro
Fonseca, José Manuel
Mora, André Damas - Powiązania:
- https://bibliotekanauki.pl/articles/384711.pdf
- Data publikacji:
- 2019
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
image processing
texture
machine learning
terrain classificafion
neural networks
UAV
przetwarzanie obrazu
tekstura
nauczanie maszynowe
sieci neuronowe - Opis:
- Knowing how to identify terrain types is especially important in the autonomous navigation, mapping, decision making and emergency landings areas. For example, an unmanned aerial vehicle (UAV) can use it to find a suitable landing position or to cooperate with other robots to navigate across an unknown region. Previous works on terrain classification from RGB images taken onboard of UAVs shown that only static pixel-based features were tested with a considerable classification error. This paper presents a computer vision algorithm capable of identifying the terrain from RGB images with improved accuracy. The algorithm complement the static image features and dynamic texture patterns produced by UAVs rotors downwash effect (visible at lower altitudes) and machine learning methods to classify the underlying terrain. The system is validated using videos acquired onboard of a UAV with a RGB camera.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2019, 13, 1; 84-93
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł