公开(公告)号：US11861893B2

公开(公告)日：2024-01-02

申请号：US17929468

申请日：2022-09-02

申请人： KABUSHIKI KAISHA TOSHIBA ,  TOSHIBA ENERGY SYSTEMS & SOLUTIONS CORPORATION

发明人： Chiayu Lin

IPC分类号： G06V20/13 ,  G06T7/11 ,  G06T7/70 ,  G06V20/10 ,  G06V20/40 ,  G06V30/14 ,  G06F18/24 ,  G06V10/44 ,  G06V20/17 ,  G06V20/62 ,  G08C19/36 ,  G06V30/10

CPC分类号： G06V20/13 ,  G06F18/24 ,  G06T7/11 ,  G06T7/70 ,  G06V10/44 ,  G06V20/10 ,  G06V20/17 ,  G06V20/46 ,  G06V20/62 ,  G06V30/1444 ,  G06V30/1448 ,  G06T2207/10016 ,  G06V30/10 ,  G08C19/36

摘要： According to one embodiment, a reading support system includes a processing device. The processing device includes an extractor and a type determiner. The extractor extracts a plurality of regions from a candidate region. The candidate region is a candidate of a region in which a meter is imaged. The regions respectively include a plurality of characters of the meter. The type determiner determines a type of the meter based on positions of the regions.

公开(公告)号：US20230419657A1

公开(公告)日：2023-12-28

申请号：US17847607

申请日：2022-06-23

申请人： LOCKHEED MARTIN CORPORATION

发明人： Jonathan Andrew Drosdeck

IPC分类号： G06V20/17 ,  G08G5/00 ,  G05D1/04

CPC分类号： G06V20/17 ,  G08G5/006 ,  G05D1/042

摘要： Ray-tracing for terrain mapping is provided. A system of an aerial vehicle can identify points generated from data captured by a sensor of the aerial vehicle. The points can each indicate a respective altitude value of a portion of terrain. The system can determine, based on the altitude values of the points, a threshold altitude of the terrain, and can identify a boundary defined in part based on the threshold altitude of the terrain. The system can generate a terrain map for the terrain based on applying a ray-tracing process to the points. The ray-tracing process can be performed within the boundary, using the points as respective sources and the aerial vehicle as a destination. The system can present a graphical representation of the terrain map in a graphical user interface of the aerial vehicle.

公开(公告)号：US20230419640A1

公开(公告)日：2023-12-28

申请号：US17827096

申请日：2022-05-27

申请人： Raytheon Company

发明人： Suhail Shabbir Saquib ,  Christopher M. Pilcher ,  John R. Goulding

IPC分类号： G06V10/764 ,  G06V20/17 ,  G06V10/22

CPC分类号： G06V10/764 ,  G06V20/17 ,  G06V10/235

摘要： Devices, systems, and methods for machine learning (ML) automatic target recognition (ATR) decision explanation are provided. A method can include receiving an object specification matrix from an object model database that indicates, for each of a plurality of physical portions of an object, whether each of a plurality of features are present or absent in a physical portion of the physical portions of the object and a proportional physical displacement between the features in the object, receiving feature data indicating for an image of a portion of the object, a likelihood whether each of features are present in the image, determining based on the object specification matrix and the feature data, a probability and corresponding uncertainty that the image corresponds to the object, and providing the probability and corresponding uncertainty of the object to help classify the object.

公开(公告)号：US20230410501A1

公开(公告)日：2023-12-21

申请号：US18199870

申请日：2023-05-19

申请人： Treeswift Inc.

发明人： Steven Chen ,  Elizabeth Hunter ,  Michael Shomin

IPC分类号： G06V20/10 ,  G06T7/13 ,  G06T7/62 ,  G06V10/25 ,  G06V10/44 ,  G06V10/80 ,  G06V20/17

CPC分类号： G06V20/188 ,  G06T7/13 ,  G06T7/62 ,  G06T2207/30242 ,  G06V10/44 ,  G06V10/806 ,  G06V20/17 ,  G06V10/25

摘要： One variation of a method includes: accessing a boundary of a stand of trees; defining an array of scan zones within the boundary; accessing a first sequence of images representing treetops in a first scan zone; accessing a second sequence of images representing bases of trees in the first scan zone; accessing a third sequence of images representing bases of trees in a second scan zone; accessing a fourth sequence of images representing treetops in the second scan zone; interpolating canopy characteristics of trees between the first scan zone and the second scan zone based on the first and fourth sequences of images; interpolating lower tree characteristics of trees between the first scan zone and the second scan zone based on the second and third sequences of images; and compiling canopy and lower tree characteristics into a virtual representation of tree characteristics across the stand of trees.

公开(公告)号：US20230406552A1

公开(公告)日：2023-12-21

申请号：US18206058

申请日：2023-06-05

申请人： AUTEL ROBOTICS CO., LTD.

发明人： Yanfeng DANG

IPC分类号： B64U20/87 ,  G06V20/17

CPC分类号： B64U20/87 ,  G06V20/17

摘要： Joint calibration methods implemented by an unmanned aerial vehicle and a server are disclosed. The server receives pose information of a detection radar from the unmanned aerial vehicle. The pose information includes a ground height and a pitch angle of the detection radar. The server determines target calibration parameters matching the pose information of the detection radar, and sends the target calibration parameters to the unmanned aerial vehicle. The unmanned aerial vehicle determines a spatial conversion relationship between the detection radar and an image acquisition device based on the target calibration parameters, and performs data fusion between the detection radar and the image acquisition device according to the spatial conversion relationship.

公开(公告)号：US20230401845A1

公开(公告)日：2023-12-14

申请号：US18235388

申请日：2023-08-18

申请人： KOREA PHOTONICS TECHNOLOGY INSTITUTE

发明人： Seon Hoon KIM ,  Doo Gun KIM ,  Young Ho SONG ,  Seung Heon HAN ,  Ju Hyeon CHOI ,  Jeong Hwan IN

IPC分类号： G06V20/17 ,  G05D1/00 ,  G05D1/10 ,  G06V10/764 ,  G06V10/774 ,  G06V20/10 ,  G06V20/68

CPC分类号： G06V20/17 ,  G05D1/0094 ,  G05D1/101 ,  G06V10/764 ,  G06V10/774 ,  G06V20/188 ,  G06V20/68 ,  B64U10/13

摘要： A fruit quantity measurement system includes an unmanned aerial vehicle configured to receive GPS information about a fruit tree region of a predetermined area and an RF signal transmitted from an RF transmitter installed for each fruit tree and provide fruit tree images captured using at least one image sensor while flying based on a predetermined flight plan over the fruit tree region, and a monitoring server configured to be connected to the unmanned aerial vehicle through a communication network to receive GPS information and an RF signal from the unmanned aerial vehicle, match and store location data for each fruit tree, analyze the fruit tree image, measure the number of fruits for each fruit tree, store fruit counting information, and provide the stored location data or fruit counting information for each fruit tree according to a request from a user terminal authorized in advance.

公开(公告)号：US11841458B2

公开(公告)日：2023-12-12

申请号：US17947743

申请日：2022-09-19

申请人： NVIDIA Corporation

发明人： Bernhard Firner

IPC分类号： G01S7/41 ,  G06N3/08 ,  G06N3/04 ,  G05D1/00 ,  G05D1/02 ,  G06F18/214 ,  G06F18/24 ,  G06F18/213 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V20/17 ,  G06V20/10 ,  G06V20/56

CPC分类号： G01S7/417 ,  G05D1/0088 ,  G05D1/0221 ,  G05D1/0251 ,  G06F18/213 ,  G06F18/214 ,  G06F18/24 ,  G06N3/04 ,  G06N3/08 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V20/17 ,  G06V20/176 ,  G06V20/56 ,  G05D2201/0213

摘要： A neural network is trained to focus on a domain of interest. For example, in a pre-training phase, the neural network in trained using synthetic training data, which is configured to omit or limit content less relevant to the domain of interest, by updating parameters of the neural network to improve the accuracy of predictions. In a subsequent training phase, the pre-trained neural network is trained using real-world training data by updating only a first subset of the parameters associated with feature extraction, while a second subset of the parameters more associated with policies remains fixed.

公开(公告)号：US20230394814A1

公开(公告)日：2023-12-07

申请号：US17830151

申请日：2022-06-01

申请人： Wing Aviation LLC

发明人： Louis Kenneth Dressel ,  Kyle David Julian

IPC分类号： G06V20/17 ,  B64C39/02 ,  G05D1/04

CPC分类号： G06V20/17 ,  B64C39/024 ,  B64C2201/141 ,  B64C2201/127 ,  B64C2201/128 ,  G05D1/042

摘要： A method includes, during a delivery process of an unmanned aerial vehicle (UAV), receiving, by an image processing system, a depth image captured by a downward-facing stereo camera on the UAV. One or more pixels are within a sample area of the depth image and are associated with corresponding depth values indicative of distances of one or more objects to the downward-facing stereo camera. The method also includes determining, by the image processing system an estimated depth value representative of depth values within the sample area. The method further includes determining that the estimated depth value is below a trigger depth. The method further includes, based at least on determining that the estimated depth value is below the trigger depth, aborting the delivery process of the UAV

公开(公告)号：US11828657B2

公开(公告)日：2023-11-28

申请号：US17563979

申请日：2021-12-28

申请人： University of North Dakota

发明人： Prakash Ranganathan

IPC分类号： G01J5/00 ,  G06V20/17 ,  G06T7/11 ,  B64C39/02 ,  G06V20/10 ,  G06T7/60 ,  G06V10/762 ,  G06T7/136 ,  B64U101/30

CPC分类号： G01J5/0066 ,  B64C39/024 ,  G06T7/11 ,  G06T7/136 ,  G06T7/60 ,  G06V10/763 ,  G06V20/17 ,  G06V20/176 ,  B64U2101/30 ,  G01J2005/0077 ,  G06T2207/10032 ,  G06T2207/10048

摘要： The present subject matter provides various technical solutions to technical problems facing automated solutions in building energy audit applications. These solutions leverage heat loss quantification to improve a building's thermal performance and improve or optimize its energy usage. The technical solutions described herein provide various advantages. These solutions include application of deep-learning methods to segment large thermal imagery data sets from a drone. The technical solutions described herein provide improved building thermal efficiency determination using multiple stages of computations to quantify the heat loss for a building envelope.

公开(公告)号：US11825783B2

公开(公告)日：2023-11-28

申请号：US17754346

申请日：2022-01-11

申请人： M Line System Co., Ltd.

发明人： Kaoru Umeya

IPC分类号： A01G3/08 ,  A01G3/02 ,  B64C39/02 ,  G05D1/10 ,  G06N3/08 ,  G06T7/55 ,  G06T7/70 ,  G06V10/774 ,  G06V10/82 ,  G06V20/17 ,  G06V20/10 ,  B64U10/10 ,  B64U30/20 ,  B64U101/30 ,  B64U101/40

CPC分类号： A01G3/08 ,  A01G3/02 ,  A01G3/085 ,  B64C39/024 ,  G05D1/101 ,  G06N3/08 ,  G06T7/55 ,  G06T7/70 ,  G06V10/774 ,  G06V10/82 ,  G06V20/17 ,  G06V20/188 ,  B64U10/10 ,  B64U30/20 ,  B64U2101/30 ,  B64U2101/40 ,  G06T2207/10032 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30188

摘要： [Problems to be Solved]
To provide an unmanned aerial vehicle capable of achieving both of equipping a pruning structure capable of pruning trees and enhancing safety.
[Solution]
An unmanned aerial vehicle 2 according to the present invention includes a pruning structure 23 capable of pruning a tree; a housing structure 24 capable of housing the pruning structure 23 inside; and a state control section 212 capable of controlling the state of the pruning structure 23 between a housed state in which the pruning structure 23 is housed inside the housing structure 24 and an exposed state in which the pruning structure 23 is exposed to the outside of the housing structure 24, wherein the state control section 212 can control the state of the pruning structure 23 to the housed state on landing. The state control section 212 preferable to control the state of the pruning structure 23 to the exposed state when a distance from the unmanned aerial vehicle 2 to a target tree to be pruned equal to or shorter than the predetermined distance, and to control the state of the pruning structure 23 to the housed state when a distance from the unmanned aerial vehicle 2 to the target tree longer than the predetermined distance.