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224 条记录 (耗时 0.021 秒)

    Synthetic aperture radar classifier neural network
    1.
    发明授权
    Synthetic aperture radar classifier neural network 有权

    公开(公告)号：US12092732B2

    公开(公告)日：2024-09-17

    申请号：US17450161

    申请日：2021-10-06

    申请人： The Boeing Company

    发明人： David Payton ,  Soheil Kolouri ,  Kangyu Ni ,  Qin Jiang

    IPC分类号： G01S13/90 ,  G01S7/41 ,  G01S13/933

    CPC分类号： G01S13/9027 ,  G01S7/417

    摘要： A computing system including a processor configured to train a synthetic aperture radar (SAR) classifier neural network. The SAR classifier neural network is trained at least in part by, at a SAR encoder, receiving training SAR range profiles that are tagged with respective first training labels, and, at an image encoder, receiving training two-dimensional images that are tagged with respective second training labels. Training the SAR classifier neural network further includes, at a shared encoder, computing shared latent representations based on the SAR encoder outputs and the image encoder outputs, and, at a classifier, computing respective classification labels based on the shared latent representations. Training the SAR classifier neural network further includes computing a value of a loss function based on the plurality of first training labels, the plurality of second training labels, and the plurality of classification labels and performing backpropagation based on the value of the loss function.

    Anti-collision system and method for an aircraft and aircraft including the anti-collision system
    2.
    发明授权
    Anti-collision system and method for an aircraft and aircraft including the anti-collision system 有权

    公开(公告)号：US12080180B2

    公开(公告)日：2024-09-03

    申请号：US17852011

    申请日：2022-06-28

    申请人： AIRBUS (BEIJING) ENGINEERING CENTRE COMPANY LIMITED

    发明人： Jinming Huang

    IPC分类号： G08G5/04 ,  G01S13/933 ,  G06V20/58 ,  G08G5/00

    CPC分类号： G08G5/04 ,  G01S13/933 ,  G08G5/0013 ,  G06V20/58

    摘要： Disclosed are an anti-collision system and method for an aircraft and an aircraft including the anti-collision system. The anti-collision system includes: a sensor data processing unit configured to process data received from a plurality of sensors to detect objects around the aircraft, and output a result about detected objects; a safeguarding box building unit configured to generate, based on an aircraft geometry database, a three-dimensional safeguarding box for the aircraft; and a risk assessment unit configured to calculate relative distances between detected objects and the aircraft, and determine whether there is a collision risk between the aircraft and an object, among the detected objects, located in the safeguarding box or to be entering into the safeguarding box, wherein the system is configured to output an alarm or a warning when there is the collision risk.

    SYSTEMS AND METHODS FOR OBSTACLE AVOIDANCE FOR UNMANNED AUTONOMOUS VEHICLES
    8.
    发明公开
    SYSTEMS AND METHODS FOR OBSTACLE AVOIDANCE FOR UNMANNED AUTONOMOUS VEHICLES 审中-公开

    公开(公告)号：US20230243965A1

    公开(公告)日：2023-08-03

    申请号：US17589807

    申请日：2022-01-31

    申请人： Alphacore, Inc.

    发明人： Joseph Smith ,  Siyang Cao

    IPC分类号： G01S13/933 ,  G05D1/10 ,  G01S13/86 ,  H01Q9/04

    CPC分类号： G01S13/933 ,  G05D1/106 ,  G01S13/867 ,  H01Q9/0414

    摘要： Collision avoidance is an important issue for unmanned autonomous vehicles (UAVs). As such, UAVs can be outfitted with a simple and inexpensive sensor for use in collision avoidance. The sensor can be attached to a gimbal and can include a RADAR transmit antenna, a RADAR receive antenna, and an optical camera. The RADAR transmit antenna and RADAR receive antenna are part of a RADAR system. The optical camera and the RADAR system are bore sighted to one another by aligning their fields of view. The optical camera captures an image of a target when the RADAR system indicates the target is in the field of view. The RADAR system and image data can be used to determine a target trajectory. The target trajectory can be used to avoid a collision with the target.

    Radar system to track low flying unmanned aerial vehicles and objects
    10.
    发明授权
    Radar system to track low flying unmanned aerial vehicles and objects 有权

    公开(公告)号：US11656354B2

    公开(公告)日：2023-05-23

    申请号：US17713117

    申请日：2022-04-04

    申请人： Rhombus Systems Group, Inc.

    发明人： Erlend Olson

    IPC分类号： G01S13/91 ,  G01S13/87 ,  G01S13/00 ,  G01S7/00 ,  G01S13/933 ,  G01S7/35 ,  G01S13/04 ,  H04B7/185

    CPC分类号： G01S13/91 ,  G01S7/006 ,  G01S7/354 ,  G01S13/003 ,  G01S13/04 ,  G01S13/878 ,  G01S13/933 ,  H04B7/18506

    摘要： A radar system for tracking UAVs and other low flying objects utilizing wireless networking equipment is provided. The system is implemented as a distributed low altitude radar system where transmitting antennas are coupled with the wireless networking equipment to radiate signals in a skyward direction. A receiving antenna or array receives signals radiated from the transmitting antenna, and in particular, signals or echoes reflected from the object in the skyward detection region. One or more processing components is electronically coupled with the wireless networking equipment and receiving antenna to receive and manipulate signal information to provide recognition of and track low flying objects and their movement within the coverage region. The system may provide detection of objects throughout a plurality of regions by networking regional nodes, and aggregating the information to detect and track UAVs and other low flying objects as they move within the detection regions.