Alberto De Zan, Denis Tavaris, Gian Luca Foresti, Ivan Scagnetto · 2026 · arXiv
DOI: 10.48550/arXiv.2610.29828 · open-access PDF
이 논문은 시각적(RGB)과 적외선(IR) 융합을 통한 UAV 탐지에 대한 새로운 전략을 제시하여 어려운 환경과 기상 조건에서 정확성과 정밀도를 향상시킵니다.이 연구에서 두 가지 반대 접근법이 연구되고 구현되었습니다: 첫 번째 접근법은 두 개의 다른 스펙트럼을 하나의 탐지기가 적용되는 하나의 이미지로 융합하는 이미지 수준 (초기) 융합에 관한 것입니다.
Machine translation (Meta M2M100); the English original follows.
This paper presents a novel strategy for UAV detection through visible (RGB) and infrared (IR) fusion, in order to improve accuracy and precision in harsh environments and weather conditions. In this research, two opposite approaches have been studied and implemented: the first concerns image-level (early) fusion, which merges two different spectra into a single image to which one detector is applied. On the other hand, the second approach, called decision-level (late) fusion, focuses on blending together the output bounding boxes of two different detection pipelines, aiming to create a common
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