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Multi-sensor field trials for detection and tracking of multiple small unmanned aerial vehicles flying at low altitude

机译:多传感器现场试验,用于检测和跟踪多架低空飞行的小型无人机

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摘要

Small unmanned aerial vehicles (UAV) flying at low altitude are becoming more and more a serious threat in civilian and military scenarios. In recent past, numerous incidents have been reported where small UAV were flying in security areas leading to serious danger to public safety or privacy. The detection and tracking of small UAV is a widely discussed topic. Especially, small UAV flying at low altitude in urban environment or near background structures and the detection of multiple UAV at the same time is challenging. Field trials were carried out to investigate the detection and tracking of multiple UAV flying at low altitude with state of the art detection technologies. Here, we present results which were achieved using a heterogeneous sensor network consisting of acoustic antennas, small frequency modulated continuous wave (FMCW) RADAR systems and optical sensors. While acoustics, RADAR and LiDAR were applied to monitor a wide azimuthal area (360°) and to simultaneously track multiple UAV, optical sensors were used for sequential identification with a very narrow field of view.
机译:低空飞行的小型无人机(UAV)在民用和军事环境中正变得越来越严重。最近,有许多事件报告,小型无人机在安全区域飞行,严重危害公共安全或隐私。小型无人机的检测和跟踪是一个广泛讨论的话题。特别是,小型无人机在城市环境或背景结构附近低空飞行,并且同时检测多个无人机具有挑战性。进行了现场试验,以研究使用最新探测技术对低空飞行的多架无人机的探测和跟踪。在这里,我们介绍了使用由声波天线,小频率连续波(FMCW)RADAR系统和光学传感器组成的异构传感器网络所获得的结果。虽然将声学,RADAR和LiDAR应用于监视宽方位角区域(360°)并同时跟踪多个无人机,但光学传感器用于以非常狭窄的视野进行顺序识别。

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