A monitoring system for an aircraft uses sensors configured to sense objects around the aircraft to generate recommendations that are ultimately used to determine possible routes that the aircraft can follow to avoid collisions with the sensed objects. The first algorithm generates guidance to avoid encountering the sensed aircraft. A second algorithm generates guidance to avoid encountering sensed non-aircraft air and ground obstacles. The second algorithm sends prohibition information to the first algorithm in a feedback loop based on the sensed location of the non-aircraft object. The first algorithm takes into account this prohibition information in generating an avoidance guidance with respect to the aircraft.

    一种用于飞行器的监测系统使用传感器,所述传感器被配置为感测所述飞行器周围的对象以生成推荐,所述推荐最终用于确定所述飞行器可以遵循以避免与感测到的对象碰撞的可能路线。第一算法生成制导以避免遭遇感测到的空中飞行器。第二算法生成制导以避免遭遇感测到的非飞行器空中障碍物和地面障碍物。所述第二算法基于所述感测到的非飞行器对象的位置在反馈回路中向所述第一算法发送禁止信息。所述第一算法在生成关于空中飞行器的避免制导时考虑了此禁止信息。


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    Title :

    Machine learning architecture for camera-based aircraft detection and avoidance


    Additional title:

    用于基于相机的飞行器检测和避免的机器学习架构



    Publication date :

    2022-11-04


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G01S RADIO DIRECTION-FINDING , Funkpeilung



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