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公开(公告)号:US12062097B1
公开(公告)日:2024-08-13
申请号:US16838485
申请日:2020-04-02
Inventor: Nathan L. Tofte , Timothy W. Ryan , Nathan W. Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant
IPC: G06V20/40 , B64C39/02 , B64D47/08 , G01C11/02 , G06F18/22 , G06Q40/08 , G06T7/00 , G06T7/20 , G06T7/246 , G06T7/73 , G06T11/60 , G06T17/05 , G06V10/42 , G06V20/10 , H04N5/44 , H04N7/18 , B64U10/00 , B64U101/00 , B64U101/30
CPC classification number: G06Q40/08 , B64C39/024 , B64D47/08 , G01C11/02 , G06F18/22 , G06T7/00 , G06T7/20 , G06T7/246 , G06T7/75 , G06T11/60 , G06T17/05 , G06V10/42 , G06V20/10 , G06V20/41 , H04N5/44 , H04N7/185 , B64U10/00 , B64U2101/00 , B64U2101/30 , G06T2207/10032 , G06T2207/30232 , G06T2207/30236 , G06T2207/30252 , G06T2215/16 , G06V20/44
Abstract: Various techniques are described utilizing one or more unmanned aerial vehicles (UAVs, or “drones”) for various disaster and/or catastrophe-related purposes. UAVs may collect data in an attempt to predict the occurrence and/or extent of a catastrophe and/or to mitigate the impact of a catastrophe before and, if not at that time, once it has occurred. The UAVs may perform various tasks such that the damage to property caused by a catastrophe (or potential catastrophe) may be eliminated or mitigated. A UAV may receive a flight path based on an energy consumption related condition and operate based on the flight path. Operating based on the flight path includes docking the UAV with a power supply device for charging a power source of the UAV.
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公开(公告)号:US12055413B2
公开(公告)日:2024-08-06
申请号:US17276100
申请日:2019-07-02
Applicant: SK TELECOM CO., LTD.
Inventor: Seong Soo Lee
CPC classification number: G01C21/3859 , G01C11/02 , G01C21/3815 , G09B29/007
Abstract: In accordance with an aspect of the present disclosure, there is provided a method of updating a high definition map. The method comprises, acquiring two-dimensional images at a plurality of different locations by using a camera mounted on a vehicle; checking a moving trajectory of the camera for acquiring the two-dimensional images; generating a local landmark map by estimating, based on surface information of a road in the high definition map, a three-dimensional position of a landmark for a lane marking around the moving trajectory of the camera; and updating the high definition map based on the local landmark map.
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公开(公告)号:US20240219177A1
公开(公告)日:2024-07-04
申请号:US18539901
申请日:2023-12-14
Applicant: Trimble Jena GmbH
Inventor: Michael Vogel
IPC: G01C11/02
CPC classification number: G01C11/02
Abstract: A surveying system comprises a base 3, a first alidade 7 mounted on the base and rotatable relative to the base about a first axis 9, a first optical instrument 17 mounted on the first alidade 7, wherein the first optical instrument is configured to emit a first beam 41 of measuring light, a second alidade 19 mounted on the base and rotatable relative to the base about a second axis 21, and a second optical instrument 25 mounted on the second alidade, wherein the second axis substantially coincides with the first axis. The first optical instrument includes a scanner 31, and the second optical instrument includes at least one camera 63.
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公开(公告)号:US12020330B2
公开(公告)日:2024-06-25
申请号:US17723908
申请日:2022-04-19
Inventor: Nathan L. Tofte , Timothy W Ryan , Nathan W. Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant
IPC: G06Q40/08 , B64C39/02 , B64D47/08 , G01C11/02 , G06F18/22 , G06Q40/00 , G06T7/00 , G06T7/20 , G06T7/246 , G06T7/73 , G06T11/60 , G06T17/05 , G06V10/42 , G06V20/10 , G06V20/40 , H04N5/44 , H04N7/18 , B64U10/00 , B64U101/00 , B64U101/30
CPC classification number: G06Q40/08 , B64C39/024 , B64D47/08 , G01C11/02 , G06F18/22 , G06Q40/00 , G06T7/00 , G06T7/20 , G06T7/246 , G06T7/75 , G06T11/60 , G06T17/05 , G06V10/42 , G06V20/10 , G06V20/41 , H04N5/44 , H04N7/185 , B64U10/00 , B64U2101/00 , B64U2101/30 , G06T2207/10032 , G06T2207/30232 , G06T2207/30236 , G06T2207/30252 , G06T2215/16 , G06V20/44
Abstract: Unmanned aerial vehicles (UAVs) may facilitate the generation of a virtual reconstruction model of a vehicle collision. UAVs may collect data (including images) related to the vehicle collision, such as with the insured's permission, which may be received by an external computing device associated with the insurer and utilized to perform a photogrammetric analysis of the images to determine vehicle impact points, the road layout at the scene of the collision, the state of the traffic light at the scene of the collision, the speeds and directions of vehicles, etc. This data may be used to generate a virtual reconstruction model of the vehicle collision. An insurer may use the virtual reconstruction model to perform various insurance-related tasks, such as allocating fault to drivers or autonomous vehicles involved in the vehicle collision, and adjustment of insurance pricing based upon the fault allocation.
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公开(公告)号:US11959749B2
公开(公告)日:2024-04-16
申请号:US14746819
申请日:2015-06-22
Applicant: Profound Positioning Inc.
Inventor: Naser El-Sheimy , Amr Al-Hamad
IPC: G01C11/02 , G01C11/12 , G01C11/34 , G01C21/16 , G01C21/20 , G01S19/40 , G01S19/42 , G01S19/48 , G06T7/73
CPC classification number: G01C21/20 , G01C11/02 , G01C11/12 , G01C11/34 , G01C21/1654 , G01C21/1656 , G01S19/40 , G01S19/42 , G01S19/485 , G06T7/74 , G06T2207/30184 , G06T2207/30244 , G06T2207/30252
Abstract: Embodiments of systems and methods for a mobile mapping system are described. In an embodiment, a method includes capturing a plurality of images of an object point using a mobile computing platform. The method may also include determining an initial set of orientation parameters in response to one or more orientation sensors on the mobile computing platform. Additionally, the method may include calculating a corrected set of orientation parameters by matching object points in the plurality of images. Further, the method may include estimating a three-dimensional ground coordinate associated with the captured images in response to the corrected set of orientation parameters.
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公开(公告)号:US20240056693A1
公开(公告)日:2024-02-15
申请号:US18382547
申请日:2023-10-23
Applicant: LandScan LLC
Inventor: Jack F. Paris , Michael J. Unverferth , Mark Hull , Robert S. Horton , Stephen P. Farrington , Daniel James Rooney
IPC: H04N25/131 , G06T7/33 , G06T7/70 , H04N23/90 , H04N23/698 , H04N23/55 , G01C11/02 , G06T3/40 , G06T17/05
CPC classification number: H04N25/131 , G06T7/33 , G06T7/70 , H04N23/90 , H04N23/698 , H04N23/55 , G01C11/02 , G06T3/4038 , G06T17/05 , G06T2207/10036 , G06T2207/10041 , G06T2207/30244
Abstract: Image acquisition and analysis systems for efficiently generating high resolution geo-referenced spectral imagery of a region of interest. In some examples, aerial spectral imaging systems for remote sensing of a geographic region, such as a vegetative landscape are disclosed for monitoring the development and health of the vegetative landscape. In some examples photogrammetry processes are applied to a first set of image frames captured with a first image sensor having a first field of view to generate external orientation data and surface elevation data and the generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus for generating geo-referenced images of images captured by the one or more other image sensors.
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公开(公告)号:US11710191B2
公开(公告)日:2023-07-25
申请号:US17723900
申请日:2022-04-19
Inventor: Nathan L. Tofte , Timothy W. Ryan , Nathan W. Baumann , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant , Michael Shawn Jacob
IPC: G06Q40/00 , G06Q40/08 , G06T7/73 , G06T7/20 , H04N5/44 , H04N7/18 , G06T7/246 , G06T7/00 , G06V20/10 , G06V20/40 , G06F18/22 , G06V10/42 , G01C11/02 , G06T11/60 , G06T17/05 , B64C39/02 , B64D47/08 , B64U10/00 , B64U101/00 , B64U101/30
CPC classification number: G06Q40/08 , B64C39/024 , B64D47/08 , G01C11/02 , G06F18/22 , G06Q40/00 , G06T7/00 , G06T7/20 , G06T7/246 , G06T7/75 , G06T11/60 , G06T17/05 , G06V10/42 , G06V20/10 , G06V20/41 , H04N5/44 , H04N7/185 , B64U10/00 , B64U2101/00 , B64U2101/30 , G06T2207/10032 , G06T2207/30232 , G06T2207/30236 , G06T2207/30252 , G06T2215/16 , G06V20/44
Abstract: Unmanned aerial vehicles (UAVs) may facilitate insurance-related tasks. UAVs may actively be dispatched to an area surrounding a property, and collect data related to property. A location for an inspection of a property to be conducted by a UAV may be received, and one or more images depicting a view of the location may be displayed via a user interface. Additionally, a geofence boundary may be determined based on an area corresponding to a property boundary, where the geofence boundary represents a geospatial boundary in which to limit flight of the UAV. Furthermore, a navigation route may be determined which corresponds to the geofence boundary for inspection of the property by the UAV, the navigation route having waypoints, each waypoint indicating a location for the UAV to obtain drone data. The UAV may be directed around the property using the determined navigation route.
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公开(公告)号:US20230228567A1
公开(公告)日:2023-07-20
申请号:US17875472
申请日:2022-07-28
Applicant: Northwest University
Inventor: Haijun QIU , Yaru ZHU , Bingzhe TANG , Shuyue MA
CPC classification number: G01C11/02 , B64C39/02 , B64D47/08 , B64C2201/123 , B64C2201/127
Abstract: Disclosed is an air-ground integrated landslide monitoring method and device. The monitoring method comprises the following steps: step one, performing high-precision (centimeter-level) vertical aerial photogrammetry and oblique photogrammetry on a monitored area by using an unmanned aerial vehicle, and quickly generating a digital topographic map, a digital orthographic map and a digital surface model; step two, performing accurate and intensive monitoring on the monitored area through a monitoring device; and step three, finally sending obtained data to a processor, and after the monitoring data are processed by the processor, sending the data to a remote-control center, so that real-time transformation and spatialization of dynamic landslide monitoring information are achieved. The present disclosure also provides a landslide monitoring device. The landslide monitoring device comprises a control box, a bottom plate and an unmanned aerial vehicle.
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公开(公告)号:US20230221115A1
公开(公告)日:2023-07-13
申请号:US18117275
申请日:2023-03-03
Applicant: Trimble AB
Inventor: Set Svanholm
Abstract: The present inventive concept relates to a method for operating a geodetic instrument comprising an optical source for assisting a user in aiming at a target in a scene and an imaging device, wherein the imaging device and the optical source share a common optical channel within the geodetic instrument, said method comprising: causing emission, by the optical source, of optical pulses towards the target; causing capture, by the imaging device, of images of the scene using a frame sequence, wherein a frame of said frame sequence includes an exposure time during which the imaging device is exposed to light from the scene; synchronizing emission of the optical pulses to the frame sequence for obtaining data from images in which the optical pulses are absent; and processing the obtained data for surveying said scene.
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公开(公告)号:US20230186481A1
公开(公告)日:2023-06-15
申请号:US18107152
申请日:2023-02-08
Applicant: Intelinair, Inc.
Inventor: Naira Hovakymian , Hrant Khachatrian , Karen Ghandilyan
IPC: G06T7/11 , G01C11/02 , G01J3/28 , A01B79/00 , G06V20/10 , G06V10/42 , G06V10/764 , G06V10/82 , G06V10/44
CPC classification number: G06T7/11 , G01C11/02 , G01J3/2823 , A01B79/005 , G06V20/188 , G06V10/431 , G06V10/764 , G06V10/82 , G06V10/454 , G01J2003/2826 , G06T2207/30188 , G06V20/194
Abstract: A pattern recognition system including an image gathering unit that gathers at least one digital representation of a field, an image analysis unit that pre-processes the at least one digital representation of a field, an annotation unit that provides a visualization of at least one channel for each of the at least one digital representation of the field, where the image analysis unit generates a plurality of image samples from each of the at least one digital representation of the field, and the image analysis unit splits each of the image samples into a plurality of categories.
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