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公开(公告)号：US20240362911A1
公开(公告)日：2024-10-31
申请号：US18566567
申请日：2022-06-01
CPC分类号： G06V20/188 , G06N3/0464 , G06Q50/02 , G06T5/20 , G06V10/26 , G06V10/751 , G06V20/17 , G06T2207/20021 , G06T2207/20081 , G06T2207/30188
摘要： Aspects include methods and apparatuses generally relating to agricultural technology and artificial intelligence and, more particularly, to counting and sizing plants in a field. One aspect relates to a method for analysing plants in an area of interest that generally includes providing at least one aerial image of the area of interest; performing object detection, segmentation and instantiation using an object-mask-predicting region convolutional neural network, Mask R-CNN, wherein the Mask R-CNN is trained to detect a selected vegetable; determining numbers and sizes of objects detected; dividing the area of interest into multiple cells; calculating the average object size per cell; and displaying results in the form of a map of the area of interest with colour or scale for each cell corresponding to the average size of object in the cell
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公开(公告)号：US20240362810A1
公开(公告)日：2024-10-31
申请号：US18607555
申请日：2024-03-18
申请人： Cape Analytics, Inc.
IPC分类号： G06T7/60 , G06V10/74 , G06V10/764 , G06V20/17
CPC分类号： G06T7/60 , G06V10/761 , G06V10/764 , G06V20/17 , G06T2207/30184
摘要： In variants, the method for change analysis can include detecting a rare change in a geographic region by comparing a first representation and a second representation, extracted from a first geographic region measurement and a second geographic region measurement sampled at a first time and a second time, respectively, using a common-change-agnostic model.
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公开(公告)号：US20240350879A1
公开(公告)日：2024-10-24
申请号：US18136691
申请日：2023-04-19
申请人： Matthew Zdunich
发明人： Matthew Zdunich
IPC分类号： A63B55/60 , A63B24/00 , A63B71/06 , B62B3/10 , B62B5/00 , B64U10/14 , B64U50/20 , B64U50/30 , G05D1/02 , G05D1/10 , G06T7/70 , G06V20/17 , G06V20/40 , G06V40/20 , G10L15/22 , H04N5/91 , H04N23/57 , H04R1/02
CPC分类号： A63B55/61 , A63B24/0006 , A63B24/0021 , A63B71/0622 , B62B3/102 , B62B5/00 , B62B5/004 , B62B5/0043 , B62B5/0069 , B64U10/14 , B64U50/20 , B64U50/30 , G06T7/70 , G06V20/17 , G06V20/42 , G06V40/23 , G10L15/22 , H04N5/91 , H04N23/57 , H04R1/028 , A63B2024/0028 , A63B2071/0625 , A63B2220/05 , A63B2220/806 , A63B2225/50 , B62B2202/406 , B64U2101/30 , G06T2207/10016 , G06T2207/10032 , G06T2207/30224 , G10L2015/223
摘要： A golf caddy system for autonomously carrying a golf bag across a golf course, recording video of golf swings, and providing golfing advice to a user includes an autonomous motorized cart. The cart includes a processor with map data of the golf course in a memory of the processor and a global positioning system receiver for determining a current location of the cart. The cart also includes a camera which is configured to capture video of a golf swing.
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公开(公告)号：US12118779B1
公开(公告)日：2024-10-15
申请号：US17936551
申请日：2022-09-29
申请人： UIPCO, LLC
发明人： Yangqiu Hu , David Lamar Rogers , Ting Lu , Jess W. Gingrich
IPC分类号： G06V20/10 , G06Q10/10 , G06V10/44 , G06V10/764 , G06V10/774 , G06V20/17 , G16H30/40
CPC分类号： G06V20/176 , G06Q10/10 , G06V10/44 , G06V10/764 , G06V10/774 , G06V20/17 , G16H30/40
摘要： A system and method for processing occluded aerial images of structures to assess structural damage is disclosed. The system employs a generative model that is trained on data created by adding occlusive features to clear aerial images. Both the clear images and their simulated occluded counterparts (image pairs) are inputted into the generative model as training data, and the model learns to recognize and discriminate patterns between the pairs. This process is fully automated and does not require manual labeling. Following training, the model is capable of receiving real (non-simulated) occluded images and generating a clarified image that can reveal structural details previously not apparent to automatically determine a damage classification for the property.
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公开(公告)号：US12085392B2
公开(公告)日：2024-09-10
申请号：US18102613
申请日：2023-01-27
申请人： Movidius Ltd.
发明人： David Macdara Moloney , Xiaofan Xu
IPC分类号： G06T15/08 , G01C21/20 , G01C21/30 , G05D1/00 , G05D1/246 , G05D1/617 , G06F9/30 , G06F17/16 , G06N3/04 , G06N3/045 , G06T1/20 , G06T15/06 , G06T17/00 , G06T17/05 , G06T19/00 , G06V20/13 , G06V20/17 , G06V20/64 , G06N3/048
CPC分类号： G01C21/20 , G01C21/30 , G05D1/0214 , G05D1/0274 , G05D1/246 , G05D1/617 , G06F9/30029 , G06F17/16 , G06N3/04 , G06N3/045 , G06T1/20 , G06T15/06 , G06T15/08 , G06T17/005 , G06T17/05 , G06T19/00 , G06T19/006 , G06V20/13 , G06V20/17 , G06V20/64 , G06N3/048 , G06T2200/04 , G06T2200/28 , G06T2210/08 , G06T2210/36 , G06T2219/004
摘要： An output of a first one of a plurality of layers within a neural network is identified. A bitmap is determined from the output, the bitmap including a binary matrix. A particular subset of operations for a second one of the plurality of layers is determined to be skipped based on the bitmap. Operations are performed for the second layer other than the particular subset of operations, while the particular subset of operations are skipped.
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公开(公告)号：US20240296672A1
公开(公告)日：2024-09-05
申请号：US18176820
申请日：2023-03-01
摘要： In some aspects, the techniques described herein relate to a method including: determining a target in a line of sight of an imaging device mounted to an aircraft; acquiring a plurality of images from the imaging device while steering the aircraft through a trajectory about the target; determining a mapping of a fixed reference feature in the plurality of images; and determining an error in an orientation of the imaging device based upon the mapping of the fixed reference feature.
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公开(公告)号：US12080169B2
公开(公告)日：2024-09-03
申请号：US17632069
申请日：2020-07-27
申请人： DAIMLER AG
发明人： Yildirim Dülgar , Hubert Rehborn
IPC分类号： G08G1/16 , G06V20/17 , G06V20/54 , G08G1/01 , G08G1/0967
CPC分类号： G08G1/167 , G06V20/17 , G06V20/54 , G08G1/012 , G08G1/0129 , G08G1/0145 , G08G1/096725 , G08G1/164
摘要： A method for the automatic merging of a vehicle from a slip road into a lane of traffic involves determining a primary merging position in advance at which the vehicle is to undertake a lane change from the slip road to the lane of traffic. If the lane change at the primary merging position or as close as possible to it does not lead to road users in the lane of traffic being obstructed, the vehicle is controlled in such a way that the lane change is carried out at the primary merging position. Otherwise, the lane change is carried out at a secondary merging position which is determined depending on detected clearances between road users in the lane of traffic.
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公开(公告)号：US12080058B2
公开(公告)日：2024-09-03
申请号：US17903447
申请日：2022-09-06
发明人： Fang Huang , Shengyi Chen , Shuying Peng , Yinjie Chen
IPC分类号： G06T7/20 , B64C39/02 , G06V10/94 , G06V20/17 , H04N23/661 , H04N23/667 , H04W4/029 , B64U101/30
CPC分类号： G06V10/95 , B64C39/024 , G06T7/20 , G06V20/17 , H04N23/661 , H04N23/667 , H04W4/029 , B64U2101/30 , G06T2207/10032
摘要： A system for real-time target identification of an unmanned aerial vehicle (UAV) based on an embedded technique and an improved YOLO4 algorithm, and relates to the field of real-time target detection is disclosed. The system for real-time target identification of a UAV based on an embedded technique and an improved YOLO4 algorithm abandons a conventional “one-to-one” mode, and can be used for a plurality of UAV data processing applications, and multiple users in different geographical locations can further remotely manage and control the system. Particularly, in a target identification client of the present disclosure, to obtain a better real-time identification effect, a YOLOv4 target identification algorithm is improved, so that a better identification result and a faster identification speed are obtained.
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公开(公告)号：US12078752B2
公开(公告)日：2024-09-03
申请号：US17438649
申请日：2020-03-13
IPC分类号： G06V10/82 , B64C39/02 , G01S7/41 , G06V10/764 , G06V20/17 , G06V20/54 , G08G5/04 , B64U101/30
CPC分类号： G01S7/417 , B64C39/024 , G06V10/764 , G06V10/82 , G06V20/17 , G06V20/54 , G08G5/045 , B64U2101/30
摘要： A method and system for real-time and automated detection and classification of aerial objects, such as e.g. UAVs, on a radar plot level from digital radar images, wherein the digital radar images are created from radar return signals obtained by a conventional radar such as e.g. a continuous wave radar (e.g. FMCW radar), a phased-array radar, or a pulse radar, as opposed to using specialized micro-Doppler radars for classifying UAVs based on the Doppler effect created by the rotors or propellers of the UAVs. Further, the method and system allow for tracking the UAVs based on the digital radar images.
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公开(公告)号：US12077316B2
公开(公告)日：2024-09-03
申请号：US17900662
申请日：2022-08-31
申请人： Skydio, Inc.
发明人： Benjamin Scott Thompson , Adam Parker Bry , Asher Mendel Robbins-Rothman , Abraham Galton Bachrach , Yevgeniy Kozlenko , Kevin Patrick Smith O′Leary , Patrick Allen Lowe , Daniel Thomas Adams , Justin Michael Sadowski , Zachary Albert West , Josiah Timothy VanderMey
CPC分类号： B64D47/08 , B64C27/001 , B64C27/32 , B64C39/024 , G06V20/13 , G06V20/17 , B64U2101/30 , B64U2201/10
摘要： An introduced autonomous aerial vehicle can include multiple cameras for capturing images of a surrounding physical environment that are utilized for motion planning by an autonomous navigation system. In some embodiments, the cameras can be integrated into one or more rotor assemblies that house powered rotors to free up space within the body of the aerial vehicle. In an example embodiment, an aerial vehicle includes multiple upward-facing cameras and multiple downward-facing cameras with overlapping fields of view to enable stereoscopic computer vision in a plurality of directions around the aerial vehicle. Similar camera arrangements can also be implemented in fixed-wing aerial vehicles.
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