LANDING OF UNMANNED AERIAL VEHICLES ON MOVING TRANSPORTATION VEHICLES FOR TRANSPORT
    2.
    发明申请
    LANDING OF UNMANNED AERIAL VEHICLES ON MOVING TRANSPORTATION VEHICLES FOR TRANSPORT 审中-公开
    运输运输车辆上的非机动车辆登机

    公开(公告)号:WO2016140988A1

    公开(公告)日:2016-09-09

    申请号:PCT/US2016/020301

    申请日:2016-03-01

    Abstract: Unmanned aerial vehicles ("UAVs") (400) which fly to destinations (e.g., for delivering items) may land on transportation vehicles (e.g., delivery trucks, etc.) (201) for temporary transport. An agreement with the owner of the transportation vehicles (e.g., a shipping carrier) may be made for obtaining consent and determining compensation for landings, and the associated transportation vehicles that are available for landings may be identified by markers on the roof or other identification techniques. The routes of the transportation vehicles (201) may be known and utilized to determine locations where UAVs (400) will land on and take off from the transportation vehicles (201), and in cases of emergencies (e.g., due to low batteries, mechanical issues, etc.) the UAVs (400) may land on the transportation vehicles (201) for later retrieval.

    Abstract translation: 飞往目的地(例如交付物品)的无人机(“无人机”)(400)可能会着陆在运输车辆(例如运送卡车等)(201)上进行临时运输。 可以与运输工具的所有者(例如航运承运人)达成协议,以获得同意并确定着陆补偿,可用于着陆的相关运输车辆可以通过屋顶上的标记或其他识别技术来识别 。 运输车辆(201​​)的路线可以是已知的并且用于确定无人机(400)将从运输车辆(201​​)着陆和起飞的位置,并且在紧急情况下(例如,由于电池电量低,机械 问题等),无人机(400)可能落在运输车辆(201​​)上以供以后检索。

    COMMERCIAL AND GENERAL AIRCRAFT AVOIDANCE USING LIGHT, SOUND, AND/OR MULTI-SPECTRAL PATTERN DETECTION
    5.
    发明申请
    COMMERCIAL AND GENERAL AIRCRAFT AVOIDANCE USING LIGHT, SOUND, AND/OR MULTI-SPECTRAL PATTERN DETECTION 审中-公开
    使用光,声和/或多光谱图案检测的商用飞机和一般飞机避雷

    公开(公告)号:WO2016094849A1

    公开(公告)日:2016-06-16

    申请号:PCT/US2015/065352

    申请日:2015-12-11

    Abstract: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle ("UAV") and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may be, for example, a light arrangement or number of lights associated with the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace to avoid the detected objects.

    Abstract translation: 本公开涉及用于无人机(UAV))的检测和回避装置以及与UAV飞行期间的自动化物体检测和避免有关的系统,装置和技术。 该系统可以通过从物体发射或反射的声,视觉,红外,多光谱,高光谱或物体可检测信号来检测UAV空域内的物体。 该系统可以通过将接收到的信号的特征与数据库中的已知源信号进行比较来识别对象可检测信号的来源。 特征可以是例如与物体相关联的光布置或数量的光。 此外,可以基于对象的特征性能参数(例如诅咒速度,机动性等)来确定对象的轨迹包络。无人机可以基于无人机的空域内检测到的物体的轨迹包络来确定优化的飞行计划,以避免 检测到的对象。

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