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公开(公告)号:US09977428B2
公开(公告)日:2018-05-22
申请号:US15139001
申请日:2016-04-26
Applicant: AT&T INTELLECTUAL PROPERTY I, LP
Inventor: Robert J. Hall
CPC classification number: G05D1/0088 , B64C39/024 , B64C2201/141 , B64C2201/146 , G05D1/101 , G08G5/006 , G08G5/0069
Abstract: A method may include monitoring location information associated with a drone. The method may also include comparing the location information with an authorized zone. The method may also include, based on the comparison, determining a violation by the drone of a rule associated with the authorized zone. The method may include, in response to the violation, augmenting control of the drone to alter operation of the drone. The location information may include at least one of a current or predicted future location of the drone.
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公开(公告)号:US20180130359A1
公开(公告)日:2018-05-10
申请号:US15347239
申请日:2016-11-09
Applicant: THE BOEING COMPANY
Inventor: Jason W. Clark , Andres Chapiro Fermon , Matthew Robert Price , Jonas Hatzenbuehler
CPC classification number: G08G5/006 , B64C39/024 , B64C2201/027 , B64C2201/146 , G05D1/0011 , G05D1/106 , G06F16/22 , G08G5/0013 , G08G5/0026 , G08G5/0069 , H04W4/80
Abstract: A flight range-restricting system is configured to control a flight range of an unmanned aerial vehicle (UAV). The flight range-restricting system includes a database including a UAV capabilities storage area that stores UAV capabilities data indicative of technical specifications of the UAV, and a restricted airspace storage area that stores restricted airspace data indicative of a restricted airspace. A range-restricting control unit is communicatively coupled to the database. The range-restricting control unit controls the flight range of the UAV based on a current location of the UAV, the UAV capabilities data, and the restricted airspace data.
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63.
公开(公告)号:US20180129913A1
公开(公告)日:2018-05-10
申请号:US15804239
申请日:2017-11-06
Applicant: PARROT DRONES
Inventor: Lea VAUCHIER , Alexandre BRIOT
CPC classification number: G06K9/6267 , B64C39/024 , B64C2201/127 , B64C2201/146 , G05D1/0094 , G06K9/0063 , G06K9/6273 , G06N3/084
Abstract: This drone includes an image sensor configured to take an image of a scene including a plurality of objects, and an electronic determination device including an electronic detection module configured to detect, via a neural network, in the image taken by the image sensor, a representation of a potential target from among the plurality of objects represented, an input variable of the neural network being an image depending on the image taken, at least one output variable of the neural network being an indication relative to the representation of the potential target. A first output variable of the neural network is a set of coordinates defining a contour of a zone surrounding the representation of the potential target.
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公开(公告)号:US20180129210A1
公开(公告)日:2018-05-10
申请号:US15803136
申请日:2017-11-03
Applicant: Intel Corporation
Inventor: Markus Achtelik , Jan Stumpf , Daniel Gurdan , Bastian Jaeger
CPC classification number: G05D1/0094 , A01B79/02 , B64C39/024 , B64C2201/123 , B64C2201/127 , B64C2201/146 , B64D47/08 , G01C5/00 , G01C11/02 , G01C11/06 , G05D1/104 , G06K9/00657 , G06T17/05
Abstract: Unmanned aerial vehicle-based systems and related methods for aerial vehicle-based systems and methods for generating landscape models are disclosed herein. An example unmanned aerial vehicle includes a communicator to receive an instruction for the unmanned aerial vehicle to fly over an area of interest. The example unmanned aerial vehicle includes a camera to generate sensor data for the area of interest. The example unmanned aerial vehicle includes data generator to generate a three-dimensional model of the area of interest based on the sensor data. The communicator is to communicate the three-dimensional model to a vehicle.
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65.
公开(公告)号:US20180127093A1
公开(公告)日:2018-05-10
申请号:US15801790
申请日:2017-11-02
Inventor: Lance E. Christensen , Brendan J. Smith , Vlad Manzatianu
CPC classification number: B64C39/024 , B64C2201/027 , B64C2201/108 , B64C2201/12 , B64C2201/141 , B64C2201/146 , B64C2201/165 , G01P5/02
Abstract: Unmanned Aerial Systems (UAS) for use in the detection, localization, and quantification of gas leaks are provided. More specifically the use of an in-situ sensor mounted to a UAS such that the sensor is positioned in a region unaffected by prop wash that is relatively undisturbed by the effects of the propeller(s) and other environmental conditions when in use is described. Additionally, methods of determining the optimal placement of the in-situ sensor on any given UAS are also provided.
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公开(公告)号:US20180112980A1
公开(公告)日:2018-04-26
申请号:US15348958
申请日:2016-11-10
Applicant: GoPro, Inc.
Inventor: Fabio Diem , Tim Oberhauser , Sammy Omari
CPC classification number: G01C17/38 , B64C39/024 , B64C2201/141 , B64C2201/146 , B64D47/08 , G01C17/02 , G05D1/0016 , G05D1/0094
Abstract: Disclosed is a system and method for calibrating a magnetometer of a compass. With a global navigation satellite system receiver, a current position is determined. The determined position is used to determine a magnetic inclination (e.g., by a global magnetic field model such as the World Magnetic Model). The calibration system may perform different calibration sequences based on the magnetic inclination. In a first calibration sequence, performed responsive to a determination that a magnetic inclination (or the absolute value of the magnetic inclination) is less than a threshold, magnetic field data is measured by the magnetometer as it is rotated through horizontal rotation paths. If the magnetic inclination is greater than the threshold, magnetic field data is measured by the magnetometer as it is rotated through vertical rotation paths. The measured magnetic field data may be used to determine calibration values for the magnetometer compass.
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公开(公告)号:US09955115B2
公开(公告)日:2018-04-24
申请号:US15341813
申请日:2016-11-02
Applicant: Wellen Sham
Inventor: Wellen Sham
CPC classification number: H04N7/147 , B64C39/00 , B64C39/024 , B64C2201/127 , B64C2201/146 , B64D47/08 , G05D1/0094 , H04B7/18506 , H04L65/00 , H04N5/23238 , H04N7/15
Abstract: Embodiments are provided for facilitating a wide-view video conference through a UAV network. For facilitating the wide-view video conference, UAVs can be employed to capture and transmit video data at locations of parties involved in the wide-view video conference. One or more UAVs in the UAV network can be instructed to locate the party's location and zoom-in onto the party's location. In some examples, the UAV(s) can be equipped with a 360 degree video camera such that a wide-area covered by the 360 degree video can be captured. The video data can be transmitted to a video data processing center in real-time or substantially in real-time. The video data transmission by the given UAV to the video data processing center can be through a UAV network. The video stream can be output at a location of a given party in the video conference.
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公开(公告)号:US09944390B2
公开(公告)日:2018-04-17
申请号:US15056572
申请日:2016-02-29
Applicant: Intel Corporation
Inventor: Igor Ljubuncic , Raphael Sack , Tomer Rider , Shahar Taite , Robert L. Vaughn , Vishwa Hassan , William L. Giard
CPC classification number: B64C39/024 , B64C2201/123 , B64C2201/126 , B64C2201/141 , B64C2201/146 , G06F17/5004 , G06F17/5009 , G06K9/00664 , G08G5/0013 , G08G5/0069 , G08G5/0086 , H04W4/023 , H04W68/005 , H04W84/12
Abstract: Technologies for managing assets of a data center include a unmanned aerial vehicle (UAV) communicatively coupled to a remote computing device. The UAV is configured to navigate throughout a data center and capture data center mapping information during the navigation usable to generate a three-dimensional (3D) model of the data center. The UAV is further configured to transmit the captured data center mapping information to a remote computing device. Accordingly, the UAV can receive instructions from a remote computing device that define a type of task to be performed by the UAV in the data center and perform such a task (e.g., a data center map update task, an asset inventory task, a maintenance task, a visual inspection task, etc.) based on the received task instructions. Other embodiments are described and claimed herein.
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公开(公告)号:US20180101169A1
公开(公告)日:2018-04-12
申请号:US15844207
申请日:2017-12-15
Applicant: Paul G. Applewhite
Inventor: Paul G. Applewhite
CPC classification number: G05D1/0027 , B64C11/04 , B64C11/28 , B64C27/82 , B64C29/0083 , B64C29/02 , B64C39/024 , B64C2201/024 , B64C2201/08 , B64C2201/082 , B64C2201/084 , B64C2201/088 , B64C2201/126 , B64C2201/146 , B64F1/04 , B64F1/06 , G05D1/104 , G08G5/00 , G08G5/0008 , G08G5/0013 , G08G5/0069
Abstract: An improved unmanned aerial vehicular system having a rotor head assembly with any balanced number of rotary wings or blades, a generally tubular body assembly, a gimballed neck connecting the head to the body, and a navigation, communications and control unit such as for military and humanitarian operations, including payload delivery and pickup. The vehicle is generally guided using a global positioning satellite signal, and by pre-programmed or real time targeting. The vehicle is generally electrically powered and may be launched by one of (a) hand-launch, (b) air-drop, (c) catapult, (d) tube-launch, or (e) sea launch, and is capable of landing on both static and dynamic targets. Once launched, unmanned aerial vehicles may be formed into arrays on a target area and find use in surveillance, warfare, and in search-and-rescue operations.
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公开(公告)号:US09940761B2
公开(公告)日:2018-04-10
申请号:US15226217
申请日:2016-08-02
Applicant: International Business Machines Corporation
Inventor: Ashish Kundu , Amit A. Nanavati , Clifford A. Pickover , Komminist S. Weldemariam
CPC classification number: G07C5/008 , B64C39/024 , B64C2201/126 , B64C2201/146 , G05D1/0055 , G05D2201/0213 , G07C5/0808
Abstract: Methods, systems, and computer program products for self-driving vehicle sensor fault remediation are provided herein. A computer-implemented method includes detecting a fault in one or more sensors of a self-driving vehicle; determining a remedial action in response to the detected fault, wherein said determining comprises (i) comparing the fault to a database comprising (a) historical sensor fault information and (b) sensor fault remedy information, and (ii) analyzing one or more items of contextual information pertaining to the location of the self-driving vehicle; generating a signal comprising one or more instructions pertaining to carrying out the determined remedial action; and outputting the generated signal to one or more remote-controlled pilotless airborne devices configured to remotely carry out the determined remedial action on the self-driving vehicle.
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