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ThreatDetect: An Autonomous Platform to secure Marine Infrastructures

机译:威胁:一个自治平台,可以保护海洋基础设施

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The NATO SPS multi-year project ThreatDetect investigates an autonomous platform to secure marine infrastructures by reliably detecting divers and mines in real time. Our system combines acoustic remote detection with verification using pattern recognition on underwater imagery. For diver detection, we rely on active acoustics from a single transceiver, and analyze the acoustic reflections to detect and localize a target that fits the pattern of a diver. For mine detection, we segment sonar images from an autonomous underwater vehicle (AUV) to differentiate between background, highlight, and shadow. In case of detection, we steer the AUV's trajectory so as to closely observe the target, and transmit segmented sonar images to a surface station via underwater acoustic communications. At the time of writing, the project is performing final technology tuning and integrated sea experiments.
机译:北约SPS多年项目威胁Detectect调查一个自主平台,通过可靠地检测潜水员和矿山来保护海洋基础设施。 我们的系统将声学远程检测结合在水下图像上使用模式识别进行验证。 对于潜水员检测,我们依靠从单个收发器的主动声学,并分析声学反射来检测和定位适合潜水员模式的目标。 对于矿山检测,我们从自治水下车辆(AUV)分割声纳图像,以区分背景,突出显示和阴影。 在检测的情况下,我们转向AUV的轨迹,以便通过水下声通信将分割的声纳图像传送到地面站的分段。 在撰写本文时,该项目正在进行最终技术调整和集成的海洋实验。

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