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公开(公告)号:US12213451B1
公开(公告)日:2025-02-04
申请号:US18827458
申请日:2024-09-06
Applicant: Henry Hardy Perritt, Jr.
Inventor: Henry Hardy Perritt, Jr.
IPC: A01K15/02 , B64U20/80 , G05D1/46 , G05D1/656 , G05D1/689 , B64U101/00 , G05D109/25
Abstract: A system and method employing an autonomous aerial vehicle programmed to stimulate a pet to engage in playful activities exercising the pet. The system is capable of executing a variety of rapid movements and emitting specific sounds designed to elicit reactions from the pet, such as barks, whines, and human utterances. In a learning mode, the system analyzes pet reactions to various stimuli. In a normal mode, it prioritizes movements and sounds that generate the most intense responses. The system includes safety measures to maintain a safe distance between the vehicle and the pet, ensuring that the vehicle automatically retreats if the pet comes too close. The system autonomously returns to its launch position when the pet disengages or when battery levels are low.
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公开(公告)号:US20250037590A1
公开(公告)日:2025-01-30
申请号:US18714139
申请日:2021-12-16
Applicant: NEC Corporation
Inventor: Remi TANAKA , Takeshi SHOUTA , Hiroyuki KAKINUMA , Tomoyuki MUTO
Abstract: A control device that includes a sensing unit that detects, from an image captured by a camera mounted in a drone, a guide light to be used for forming a corridor used by the drone, and identifies a position of the detected guide light, a calculation unit that calculates, according to positions of the drone and the guide light, a predicted arrival position of the drone and a control target position according to a positional relationship between the drone and the guide light at a control timing subsequent to a timing of capturing the image, a control condition generation unit that generates a control condition for a motor that drives a propeller of the drone according to the predicted arrival position and the control target position, and a control condition setting unit that sets the control condition for the motors of the drone.
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公开(公告)号:US20240418512A1
公开(公告)日:2024-12-19
申请号:US18336235
申请日:2023-06-16
Applicant: The Boeing Company
Inventor: Richard PEPE , Andrew WALSH , Reid REYNOLDS
Abstract: Techniques for maneuvering a space vehicle are presented. The techniques can include: obtaining a representation, in a computer, of a multi-segment planned position, planned velocity, and planned acceleration of the space vehicle along a planned continuous trajectory; tracking, using at least one navigation sensor, an indication of an actual position, actual velocity, and actual acceleration of the space vehicle; and maneuvering the space vehicle, using a closed-loop controller, and based on the tracking, to return to the planned position, planned velocity, and planned acceleration.
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公开(公告)号:US20240412511A1
公开(公告)日:2024-12-12
申请号:US18809153
申请日:2024-08-19
Applicant: Markus GARCIA , Thomas ZELLWEGER
Inventor: Markus GARCIA , Thomas ZELLWEGER
IPC: G06V20/20 , G05D1/46 , G05D1/689 , G06F16/51 , G06F16/583 , G06F18/24 , G06T7/00 , G06V20/17 , G06V40/60 , H04N23/60
Abstract: Disclosed is a method for the physical, in particular optical, detection of at least one usage object. The method includes the step of carrying out at least one physical detection process, for example by a user and/or an implementation device, in particular of at least one photograph, of the usage object, so that the usage object may be detected in such a way that an image of the usage object as detected during the detection process is shown at the same time as the database object shown on the screen in an identical manner or in a manner identical to scale, wherein as a result of the detection process, the usage object is associated with at least one usage object class, for example a vehicle type, by the processing unit and/or the CPU and/or the user.
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公开(公告)号:US20240314436A1
公开(公告)日:2024-09-19
申请号:US18673722
申请日:2024-05-24
Applicant: SONY GROUP CORPORATION
Inventor: Keisuke CHIDA , Takuro KAWAI
IPC: H04N23/68 , B64C39/02 , B64D47/08 , B64U101/30 , G05D1/46
CPC classification number: H04N23/687 , B64C39/024 , B64D47/08 , G05D1/46 , B64U2101/30 , B64U2201/20
Abstract: Provided is a control device and method for enabling image capturing under optimum image-capturing conditions. A control section corrects preset image-capturing conditions on the basis of an analysis result of an image captured by an image capturing device included in a mobile body. A driving control section controls driving of the mobile body on the basis of the corrected image-capturing conditions. The present technique is applicable to a mobile-body control system that controls the mobile body.
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公开(公告)号:US12085962B2
公开(公告)日:2024-09-10
申请号:US18403503
申请日:2024-01-03
Applicant: Northwestern Polytechnical University
Inventor: Zhen Wang , Tao Zhang , Dengxiu Yu , Chao Gao , Xuelong Li
IPC: G05D1/695 , B64D47/06 , G05D1/249 , G05D1/46 , G05D109/25 , G05D111/10 , G06T7/73 , G08G5/00 , H04N23/695
CPC classification number: G05D1/695 , B64D47/06 , G05D1/249 , G05D1/46 , G06T7/74 , G08G5/0008 , G08G5/0021 , G08G5/0052 , G08G5/0069 , G08G5/0078 , H04N23/695 , B64D2203/00 , B64U2201/102 , G05D2109/254 , G05D2111/10 , G06T2207/10024 , G06T2207/10032
Abstract: Disclosed is a nighttime cooperative positioning method based on an unmanned aerial vehicle (UAV) group, falling within the technical field of aircraft navigation and positioning. According to the present disclosure, the cooperative visual positioning and the collision warning for UAVs are realized by means of light colors of the UAVs, respective two-dimensional turntable cameras and a communication topology network, without adding additional equipment and without relying on an external signal source, avoiding external interference. Compared with the positioning method in a conventional manner, in the present disclosure, the system is effectively simplified, and the cooperative positioning among the interiors of a UAV cluster can be realized relatively simply and at a low cost to maintain the formation of the UAV group.
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公开(公告)号:US20240221509A1
公开(公告)日:2024-07-04
申请号:US18442066
申请日:2024-02-14
Applicant: BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.
Inventor: Wei HONG
CPC classification number: G08G5/0013 , B64C39/024 , G01C21/20 , G05D1/46 , H04W4/44 , H04W36/32 , B64U2201/20
Abstract: A method for determining information includes: receiving flight path information of an unmanned aerial vehicle (UAV) reported by the UAV, wherein content of the flight path information includes at least one of: a path positioning point of the UAV, a flight speed of the UAV, a flight altitude of the UAV, a reporting time of the flight path information of the UAV, or a position and altitude of the UAV when the flight path information of the UAV is reported; and determining flight-related information according to the flight path information of the UAV, wherein the flight-related information includes at least one of a flight path of the UAV, an identification of a serving base station to which the UAV is to be handed over, or a handover duration; wherein the flight path information is carried by UE information response field of radio resource control (RRC) signaling.
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公开(公告)号:US20240199204A1
公开(公告)日:2024-06-20
申请号:US18546834
申请日:2022-02-17
Applicant: ALAUDA AERONAUTICS PTY LTD
Inventor: Matthew James PEARSON , Florian BREUT
CPC classification number: B64C29/0016 , G01C21/165 , G01S7/4808 , G01S19/485 , G05D1/46 , G05D1/622
Abstract: Some embodiments relate to a manned vertical take-off and landing (VTOL) aerial vehicle (AV) and to methods relating to such VTOL AVs. An example vehicle comprises: a body comprising a cockpit; a propulsion system carried by the body to propel the body during flight; pilot-operable controls accessible from the cockpit; a sensing system configured to generate sensor data associated with a region around the manned VTOL AV; a control system configured to enable control of the manned VTOL AV to be shared between a pilot and an autonomous piloting system, wherein the control system may utilise the sensor data; and a three-dimensional model of the region; and program instructions to: determine a state estimate and a state estimate confidence metric; generate a three-dimensional point cloud of the region; generate a plurality of virtual particles within the three-dimensional model; compute a plurality of scores, each score being associated with one of the plurality of virtual particles; and update the state estimate based at least in part on the computed scores, thereby determining an updated state estimate.
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公开(公告)号:US20240166363A1
公开(公告)日:2024-05-23
申请号:US18225565
申请日:2023-07-24
Applicant: Volo Alto, LLC
Inventor: Nicholas R. Guida
CPC classification number: B64D45/00 , B64C15/00 , B64D47/08 , G05D1/46 , G07C5/008 , G07C5/085 , B64D2045/0085
Abstract: A flight augmentation system with optical sensors to capture information from aircraft instruments. The system may determine a status of the aircraft based on the captured information and provide guidance to an operator. The system may collect long term data and determine an operational history of a pilot or an aircraft. The system may provide instruction based on the data or provide to interested third parties.
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公开(公告)号:US20250061601A1
公开(公告)日:2025-02-20
申请号:US18819385
申请日:2024-08-29
Applicant: Neural Enterprises Inc.
Inventor: Matthew Laurence ARKSEY , Deon BLAAUW , Lucas Thomas HAHN , John Gordon MCQUEEN , Satoshi NAKAJIMA , Guy David Byron SHEFNER , Richard Chia Tsing TONG
IPC: G06T7/73 , B64C39/02 , B64U10/13 , B64U10/14 , B64U80/86 , B64U101/20 , B64U101/30 , G01C15/00 , G05D1/46 , G05D1/692 , G05D1/695 , G06N20/00 , G06T17/10 , G06V20/17 , G08G5/00 , H04B7/185 , H04B17/318 , H04W4/02 , H04W4/40 , H04W24/08 , H04W28/24 , H04W64/00 , H04W84/04 , H04W84/12
Abstract: A method comprising receiving a plurality of images of a scene captured by at least one drone; identifying features within the plurality of images; identifying similar images of the plurality of images based on the features identified within the plurality of images; comparing the similar images based on the features identified within the similar images to determine a proportion of features shared by the similar images; selecting a subset of the plurality of images that have a proportion of shared features that meets a predetermined range; generating a first 3D model of the scene from the subset of images using a first 3D model building algorithm; generating a second 3D model of the scene from the subset of images using a second 3D model building algorithm; computing errors for the first and second 3D models; and selecting as the model of the scene the first or second 3D model.
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