基于视觉的无人机空对空中和检测

Fidel González, R. Caballero, F. J. Pérez-Grau, A. Viguria
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引用次数: 2

摘要

无人驾驶飞行器(uav)的广泛可用性对地面上的人员和财产以及其他空域用户构成潜在威胁。本文介绍了一种基于另一架带有捕获装置的无人机的无人机中和系统的设计、开发和验证。操作是完全自主的,并且仅依赖于捕获无人机上的两个摄像机捕获的数据:一个用于远程探测高达40米,另一个用于实际捕获之前的短程准确估计。该方法在现场实验中得到了广泛的验证,证明了鲁棒性和计算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vision-based UAV Detection for Air-to-Air Neutralization
The widespread availability of Unmanned Aerial Vehicles (UAVs) poses potential threats for people and properties on the ground, and other airspace users. This work introduces the design, development and validation of a UAV neutralization system that is based on another UAV with a capture device. The operation is fully autonomous, and only relies on data captured by two cameras onboard the captor UAV: one for long-range detections up to 40m, and another one for short-range accurate estimations prior to the actual capture. The approach has been extensively validated in field experiments, proving robustness and computational efficiency.
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