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    • 5. 发明申请
    • UAV DETECTION
    • 无人机检测
    • WO2017077348A1
    • 2017-05-11
    • PCT/GB2016/053482
    • 2016-11-07
    • SQUAREHEAD TECHNOLOGY ASSAMUELS, Adrian James
    • HAFIZOVIC, InesNYVOLD, Stig OlufAASEN, Jon Petter HelgesenDALENG, Johannes AlmingOLSEN, Frode Berg
    • G01S5/02G01S5/20G06T7/55
    • G01S5/0263G01S5/20G06K9/00771G06K9/3216G06K9/6277G06T7/73G06T2207/10012G06T2207/10021G06T2207/30232
    • A system (2) for detecting, classifying and tracking unmanned aerial vehicles (UAVs) (50) comprising: at least one microphone array (4) arranged to provide audio data; at least one camera (6, 8) arranged to provide video data; and at least one processor arranged to generate a spatial detection probability map comprising a set of spatial cells. The processor assigns a probability score to each cell as a function of: an audio analysis score generated by comparing audio data to a library of audio signatures; an audio intensity score generated by evaluating a power of at least a portion of a spectrum of the audio data; and a video analysis score generated by using an image processing algorithm to analyse the video data. The system is arranged to indicate that a UAV has been detected in one or more spatial cells if the associated probability score exceeds a predetermined detection threshold.
    • 一种用于检测,分类和跟踪无人飞行器(UAV)(50)的系统(2),包括:布置成提供音频数据的至少一个麦克风阵列(4) 至少一个照相机(6,8),其被设置为提供视频数据; 以及至少一个处理器,其被设置为生成包括一组空间单元的空间检测概率图。 处理器根据以下函数向每个单元分配概率分数:通过将音频数据与音频签名库进行比较而生成的音频分析分数; 通过评估所述音频数据的至少一部分频谱的功率而生成的音频强度分数; 以及通过使用图像处理算法来分析视频数据而生成的视频分析评分。 该系统被设置为如果相关联的概率分数超过预定的检测阈值,则指示已经在一个或多个空间单元中检测到UAV。
    • 6. 发明专利
    • UAV detection
    • GB201519634D0
    • 2015-12-23
    • GB201519634
    • 2015-11-06
    • SQUAREHEAD TECHNOLOGY AS
    • A system for detecting, classifying and tracking unmanned aerial vehicles (UAVs) comprising: at least one microphone array arranged to provide audio data; at least one camera arranged to provide video data; and at least one processor arranged to generate a spatial detection probability map comprising a set of spatial cells. The processor assigns a probability score to each cell as a function of: an audio analysis score generated by comparing audio data to a library of audio signatures; an audio intensity score generated by evaluating a power of at least a portion of a spectrum of the audio data; and a video analysis score generated by using an image processing algorithm to analyse the video data. The system is arranged to indicate that a UAV has been detected in one or more spatial cells if the associated probability score exceeds a predetermined detection threshold.