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1.
公开(公告)号:US20240212495A1
公开(公告)日:2024-06-27
申请号:US17018748
申请日:2020-09-11
Inventor: Matthew Megyese , Sarah Ann Lockenvitz , Paul Bates , Nicholas Carmelo Marotta , Cathy Jo Roth , Austin Rowley , Jared Wheet
IPC: G08G1/0967 , B64C39/02
CPC classification number: G08G1/096741 , B64C39/024 , G08G1/096766 , B64C2201/123
Abstract: A computer system for identifying a flood risk area including a processor in communication with a memory device, an unmanned vehicle (UV), and a sensor is provided. The processor may be configured to: receive topography data of a geographical area from the UV, wherein the topography data is generated by the UV located at the geographical area; receive water data from a sensor located at the geographical area, wherein the water data is generated by the sensor; determine that the geographical area includes a flood risk geographical area; generate an alert including a flood map including the flood risk geographical area; and transmit the alert to one or more client devices associated with a user to notify the user that the geographical area includes the flood risk geographical area.
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公开(公告)号:US20240019864A1
公开(公告)日:2024-01-18
申请号:US17864734
申请日:2022-07-14
Applicant: GM Cruise Holdings LLC
Inventor: Mohamed Mostafa Elshenawy
CPC classification number: G05D1/0088 , B64C39/024 , B64C2201/027 , B64C2201/123 , B64C2201/208 , B64C2201/141 , G05D2201/0213
Abstract: Particular embodiments described herein provide for a vehicle assist drone. The vehicle assist drone can be operated in different modes. For example, the vehicle assist drone can be deployed in a user of an AV service assist mode, a clear occlusion mode, refined routing mode, a security mode, a search and rescue mode (e.g., search for missing child mode), or some other mode. In addition, the vehicle assist drone can be used to supplement a vehicle's sensors. For example, supplementary sensor data from the vehicle assist drone can be used in place of the vehicle's sensors or combined with sensor data from the onboard sensors of the vehicle to supplement the vehicle's sensors.
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公开(公告)号:US20230242279A1
公开(公告)日:2023-08-03
申请号:US17649898
申请日:2022-02-03
Applicant: The Boeing Company
Inventor: Walter J. Jarecki , James J. Troy , Gregory James Sweers , Charles T. Coccia
CPC classification number: B64F5/60 , G06T7/0002 , B64C39/024 , G05D1/0094 , B64C2201/123 , G05D1/104
Abstract: A method, apparatus, system, and computer program product for inspecting an aircraft. A computer system receives captured data associated with a flight path flown by an unmanned aircraft system to acquire the captured data for the aircraft. The computer system compares the captured data with reference data for the aircraft to form a comparison. The computer system determines whether the captured data is within a set of tolerances for valid captured data using a result of the comparison. Prior to detecting anomalies for the aircraft using the captured data, the computer system determines a set of corrective actions in response to the captured data being outside of the set of tolerances for the valid captured data in which the set of corrective actions is performed.
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4.
公开(公告)号:US20230238156A1
公开(公告)日:2023-07-27
申请号:US17987203
申请日:2022-11-15
Applicant: North China Electric Power University
CPC classification number: H01B7/32 , G06V10/70 , B64C39/024 , B64C2201/123 , G06V2201/07
Abstract: A method and system for detecting a typical object of a transmission line based on UAV federated learning. The method includes: determining a detection model for a typical object of a transmission line by YOLOv3 object detection algorithm according to a prior database for the typical object; dividing a UAV network into multiple federated learning units; acquiring pictures, taken by the UAV network, of the typical object and tags corresponding to each picture to determine a training database; training, based on Horovod framework and FATE federated learning framework, each federated learning unit according to the training database and the detection model for the typical object, and determining the trained UAV network according to the trained federated learning unit; and determining, by the trained UAV network, the typical object in each picture. A congestion of communication links is avoided, thereby improving detection efficiency.
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公开(公告)号:US20230221263A1
公开(公告)日:2023-07-13
申请号:US17571619
申请日:2022-01-10
Applicant: THE BOEING COMPANY
Inventor: James J. Troy , Gary E. Georgeson , Armando Xavier Membrila , Phillip Riste , Gregory James Sweers , Walter Joseph Jarecki
IPC: G01N21/958 , B64C39/02
CPC classification number: G01N21/958 , B64C39/024 , G01N2201/0214 , B64C2201/123
Abstract: A system and method for detecting an anomaly of an optically transparent or translucent object are disclosed. The system and method include a light source configured to emit light, a light transmission element having a textured surface, and an optical couplant configured to be disposed between the light transmission element and the object. At least a portion of the light emitted by the light source is configured to pass into the light transmission element through the textured surface and pass into the object through the optical couplant. At least a portion of the light that passes into the object internally reflects within the object and impinges on the anomaly to provide an illumination that indicates the location of the anomaly.
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6.
公开(公告)号:US20230165182A1
公开(公告)日:2023-06-01
申请号:US17975996
申请日:2022-10-28
Inventor: Yang-Jae JEONG , Kyung-Il KIM , Chae-Deok LIM , Beob-Kyun KIM , Young-Bin KIM , Jin-Ah SHIN , Duk-Kyun WOO , Dong-Wan RYOO , Yoo-Jin LIM , Su-Jung HA
CPC classification number: A01B79/005 , A01C21/005 , B64C39/024 , B64C2201/141 , B64C2201/123 , B64C2201/021
Abstract: Disclosed herein are an apparatus and method for providing a wide-area precision agriculture service based on collaboration between heterogeneous drones. The method for providing a wide-area precision agriculture service based on collaboration between heterogeneous drones includes transferring first mission information including photography of an entirety of arable land to a fixed-wing drone, receiving first drone data corresponding to the first mission information from the fixed-wing drone, and analyzing the entire agricultural arable land based on the first drone data, and transferring detailed mission information generated based on a result of analysis of the entire agricultural arable land to at least one rotary-wing drone.
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公开(公告)号:US11651478B2
公开(公告)日:2023-05-16
申请号:US17155975
申请日:2021-01-22
Applicant: Climate LLC
Inventor: Doug Sauder , Justin L. Koch , Troy L. Plattner , Phil Baurer
CPC classification number: G06T5/006 , A01B79/005 , G05D1/0094 , G05D1/106 , G06T11/60 , G06V20/188 , B64C2201/123
Abstract: A method for agronomic and agricultural monitoring includes designating an area for imaging, determining a flight path above the designated area, operating an unmanned aerial vehicle (UAV) along the flight path, acquiring images of the area using a camera system attached to the UAV, and processing the acquired images.
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公开(公告)号:US20190233104A1
公开(公告)日:2019-08-01
申请号:US16262517
申请日:2019-01-30
Applicant: AeroVironment, Inc.
Inventor: Nazlin Kanji , Greg Aragon , Carolyn Hall
CPC classification number: B64C39/024 , B64C2201/088 , B64C2201/123 , B64C2201/127 , G06F16/58 , G06F21/56
Abstract: Systems, devices, and methods for receiving image data; transferring the captured image data to a server having a processor and addressable memory via a network-connected computing device; storing the captured image data on the server; generating captured image metadata based on the stored captured image data; providing access to the captured image data and captured image metadata via an image management component; displaying, by the image management component, the captured image data; and filtering, by the image management component, the captured image data based on the generated captured image metadata.
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公开(公告)号:US20190206265A1
公开(公告)日:2019-07-04
申请号:US16352675
申请日:2019-03-13
Applicant: Insitu, Inc.
Inventor: Rolf Rysdyk
CPC classification number: G08G5/0069 , B64C39/024 , B64C2201/123 , B64C2201/141 , B64D47/08 , G01C21/16 , G01C21/165 , G05D1/0808 , G05D1/101 , G06T7/20 , G06T7/246 , G06T2207/10016 , G06T2207/10032 , G06T2207/30252
Abstract: A system and method for navigating a vehicle comprising an image sensor in the absence of global positioning information is disclosed. In one embodiment, the method comprises accepting a user-selected target of an image produced by the imaging sensor, determining a difference between an optic flow due only to motion of the vehicle and the selected target of the image, determining a vehicle guidance command at least in part according to the difference between the optic flow of the selected target due to motion of the vehicle and the selected target of the image, and an estimate of a ground speed of the vehicle Vg, and commanding the vehicle at least in part according to the vehicle guidance command. Another embodiment is evidenced by an apparatus having a processor and a communicatively coupled memory storing processor instructions for performing the foregoing operations.
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公开(公告)号:US20190196513A1
公开(公告)日:2019-06-27
申请号:US16301356
申请日:2016-05-16
Applicant: SZ DJI TECHNOLOGY CO., LTD
Inventor: You ZHOU , Xuyang FENG , Cong ZHAO , Jiaqi YAN
CPC classification number: G05D1/104 , B64C39/024 , B64C2201/123 , B64C2201/127 , B64C2201/143 , G05D1/0094
Abstract: The present disclosure relates to systems, methods, and computer-readable storage devices for the coordination of actions between movable objects. For example, a method may coordinate actions between at least a first and a second movable object. The method may detect, by the first movable object, the position of a target. The method may control the position of a first movable object based on the position of the target. A command may be received for the first movable object to perform an action in coordination with the second movable object. In some embodiments, the command may be to take images of the target to create a bullet time effect.
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