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公开(公告)号:US20190118945A1
公开(公告)日:2019-04-25
申请号:US16035888
申请日:2018-07-16
Applicant: Loveland Innovations, LLC
Inventor: Jim Loveland , Leif Larson , Dan Christiansen , Tad Christiansen
CPC classification number: B64C39/024 , B64C2201/024 , B64C2201/123 , B64C2201/141 , G05D1/0094 , G05D1/0202 , G06T7/0002 , G06T17/00 , G06T2207/10048 , G06T2207/30184 , H04N5/232 , H04N5/23299
Abstract: An unmanned autonomous vehicle assessment and reporting system may implement a crisscross boustrophedonic flight pattern for capturing images of a structure to develop a three-dimensional model of the same. Patch scan analysis of predefined sample sizes of the roof may be captured in a separate scan and/or as part of the crisscross boustrophedonic flight pattern. The crisscross boustrophedonic flight pattern may include integrated oblique image captures via structure-facing camera angles during approach portions of each pass of a boustrophedonic flight pattern, via structure-facing end passes, and/or via rounded structure-facing end passes. A crisscross boustrophedonic flight pattern may include two or more boustrophedonic flight patterns that are at angles relative to one another.
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公开(公告)号:US20190108384A1
公开(公告)日:2019-04-11
申请号:US15725747
申请日:2017-10-05
Applicant: TuSimple
Inventor: Yijie WANG , Panqu WANG , Pengfei CHEN
CPC classification number: G06K9/0063 , B64C39/024 , B64C2201/123 , B64D47/08 , G06K9/00765 , G06K9/209 , G06K9/3241 , G06K9/4652 , G06K9/6256 , G06K2209/21 , G06T7/11 , G08G1/012
Abstract: A system and method for aerial video traffic analysis are disclosed. A particular embodiment is configured to: receive a captured video image sequence from an unmanned aerial vehicle (UAV); clip the video image sequence by removing unnecessary images; stabilize the video image sequence by choosing a reference image and adjusting other images to the reference image; extract a background image of the video image sequence for vehicle segmentation; perform vehicle segmentation to identify vehicles in the video image sequence on a pixel by pixel basis; determine a centroid, heading, and rectangular shape of each identified vehicle; perform vehicle tracking to detect a same identified vehicle in multiple image frames of the video image sequence; and produce output and visualization of the video image sequence including a combination of the background image and the images of each identified vehicle.
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公开(公告)号:US20190052865A1
公开(公告)日:2019-02-14
申请号:US15856957
申请日:2017-12-28
Applicant: Intel IP Corporation
Inventor: Eliezer Tamir , Anders Grunnet-Jepsen
IPC: H04N13/271 , B64D47/08 , B64C39/02
CPC classification number: H04N13/271 , B64C39/024 , B64C2201/123 , B64C2201/127 , B64C2201/143 , B64D47/08 , H04N13/239 , H04N2013/0081
Abstract: Systems and methods may include a drone or multiple drones to capturing depth information, which may be used to create a stereoscopic map. The drone may capture information about two trailing drones, including a baseline distance between the two trailing drones. Additional information may be captured, such as camera angle information for one or both of the two trailing drones. The drone may receive images from the two trailing drones. The images may be used (on the drone or on another device, such as a base station) to create a stereoscopic image using the baseline distance. The stereoscopic image may include determined depth information for objects within the stereoscopic image, for example based on the baseline distance between the two trailing drones and the camera angle information.
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公开(公告)号:US20180356221A1
公开(公告)日:2018-12-13
申请号:US15775043
申请日:2016-12-12
Applicant: PRODRONE CO., LTD.
Inventor: Shintaro KUSUMOTO , Kiyokazu SUGAKI , Kazuo ICHIHARA
CPC classification number: G01C13/008 , B64C39/024 , B64C2201/123 , G01F23/04 , G01F23/292 , G05D1/102 , G05D9/12 , G06T7/60 , G06T7/73 , G06T7/90 , G06T2207/10024 , G06T2207/10032 , G06T2207/30181 , Y02A90/32
Abstract: A water level measurement system including: a water level gauge including a scale part which is installed to extend upward at a predetermined angle of inclination from a water surface; and an unmanned aerial vehicle including image capturing means for capturing the scale part from above and a plurality of rotary wings, and is also solved by a water level control system including the water level measurement system and water level adjustment equipment capable of adjusting an amount of water in a water area in which the water level gauge is installed, wherein the unmanned aerial vehicle includes the water level determining unit and water level control means for remotely operating the water level adjustment equipment through wireless communication, as well as a water level measurement method and a water level control method using the above systems.
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公开(公告)号:US20180350244A1
公开(公告)日:2018-12-06
申请号:US16056911
申请日:2018-08-07
Applicant: Kespry Inc.
Inventor: Robert Parker Clark
CPC classification number: G08G5/0039 , B64C39/024 , B64C2201/024 , B64C2201/108 , B64C2201/123 , B64C2201/127 , B64C2201/141 , B64C2201/165 , B64D31/06 , G01C7/04 , G05D1/0094 , G06K9/0063 , G06K9/00637 , G08G5/0013 , G08G5/0021 , G08G5/0034 , G08G5/0069 , G08G5/0086 , H04N7/183 , H04N7/185 , H04N7/188
Abstract: An unmanned aerial vehicle includes a camera, one or more sensors, memory storing first instructions that define an overall mission, and memory storing one or more mission cues. The vehicle further includes one or more processors configured to execute a first part of the first instructions to perform a first part of the overall mission. The processors are configured to process at least one of the image data and the sensor data to detect a presence of at least one of the mission cues. The processors are configured to, in response to detecting a mission cue, interrupting execution of the first instructions and executing second instructions to control the unmanned aerial vehicle to perform a first sub-mission of the overall mission. The processors are configured to after executing the second instructions, performing a second part of the overall mission by executing a second part of the first instructions.
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公开(公告)号:US20180312256A1
公开(公告)日:2018-11-01
申请号:US16013187
申请日:2018-06-20
Inventor: HAJIME MAEKAWA
CPC classification number: B64C39/024 , B64C2201/024 , B64C2201/027 , B64C2201/123 , B64C2201/127 , G05D1/0094 , G05D1/042 , H04N5/23203 , H04N5/23296
Abstract: A device controls a movement direction of an unmanned aerial vehicle having mounted thereon an imaging device that captures an image. The device includes one or more memories and a processor which, in operation, recognizes, as a plurality of markers, a plurality of objects from the image captured by the imaging device, each of the plurality of markers attached to one of the plurality of objects. The processor further calculates an area of a polygon formed by the plurality of markers, and controls the movement direction of the unmanned aerial vehicle such that the area of the polygon is maximized.
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公开(公告)号:US20180273173A1
公开(公告)日:2018-09-27
申请号:US15762058
申请日:2016-09-22
Applicant: PRO-DRONE LDA
Inventor: André MOURA
CPC classification number: B64C39/024 , B64C2201/024 , B64C2201/027 , B64C2201/123 , B64C2201/127 , B64C2201/141 , B64C2201/146 , F03D17/00 , G01N21/9515 , G01N25/72 , G01N29/225 , G05D1/0011 , G05D1/0055 , G05D1/0088 , G05D1/0094
Abstract: Devices and methods of autonomously inspecting elongated structures, such as blades of wind turbines, are disclosed. An unmanned aerial vehicle (UAV) is guided towards the elongated structure. The UAV automatically senses distance from the elongated structure. The UAV autonomously maintains a distance greater than a safety distance and identifies an optimum inspecting distance from the elongated structure. The UAV is then autonomously placed at the optimum inspecting distance to automatically record data pertinent to at least a region of the elongated structure when the UAV is at the optimum inspecting distance.
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公开(公告)号:US10081432B2
公开(公告)日:2018-09-25
申请号:US14917299
申请日:2014-09-05
Applicant: UNIVERSITA DEGLI STUDI DI FIRENZE
Inventor: Guglielmo Rossi , Sandro Moretti , Nicola Casagli
CPC classification number: B64D27/26 , B64C27/08 , B64C39/024 , B64C2201/027 , B64C2201/042 , B64C2201/108 , B64C2201/123 , B64C2201/16
Abstract: A structure of drone (100) comprises a frame (110) comprising an engagement portion (110′), said engagement portion (110′) being a strip having a predetermined geometry. The structure of drone (100) also comprises a plurality of propulsion elements (120). Each propulsion element (120) is arranged, in use, to be engaged in a removable way to the engagement portion (110′) at a any point of the strip, in such a way to easily change the number and the arrangement of the propulsion elements (120) present on the engagement portion (110′).
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公开(公告)号:US20180266886A1
公开(公告)日:2018-09-20
申请号:US15984176
申请日:2018-05-18
Applicant: FLIR Systems, Inc.
Inventor: Jeffrey D. Frank , Michael Kent , Anna-Karin Lindblom , Lei Bennett , Andrew C. Teich
CPC classification number: G01J5/00 , B64C39/024 , B64C2201/123 , B64C2201/127 , B64C2201/141 , B64C2201/146 , G01J5/007 , G01J5/0265 , G01J5/06 , G01J5/061 , G01J2005/0048 , G01J2005/0055 , G01J2005/0077 , G01J2005/068 , G03B15/006 , G06K9/0063 , G08G5/0091 , H02J4/00 , H02S50/00 , H02S50/15 , H04N5/2351 , H04N5/243 , H04N5/33 , H04N7/185 , H04W4/046 , H04W84/18
Abstract: Flight based infrared imaging systems and related techniques, and in particular UAS based thermal imaging systems, are provided to improve the monitoring capabilities of such systems over conventional infrared monitoring systems. An infrared imaging system is configured to compensate for various environmental effects (e.g., position and/or strength of the sun, atmospheric effects) to provide high resolution and accuracy radiometric measurements of targets imaged by the infrared imaging system. An infrared imaging system is alternatively configured to monitor regulatory limitations on operation of the infrared imaging system and adjust and/or disable operation of the infrared imaging systems accordingly.
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公开(公告)号:US20180262571A1
公开(公告)日:2018-09-13
申请号:US15451420
申请日:2017-03-07
Applicant: Sabrina Akhtar
Inventor: Sabrina Akhtar
IPC: H04L29/08 , G05B13/02 , G08B21/10 , H04W4/02 , H04M1/725 , G06Q10/08 , G06Q50/28 , G06Q10/06 , G06Q50/00 , G06Q30/02 , B64C39/02 , B64C31/06 , B64D47/08 , A01G25/16
CPC classification number: H04L67/12 , A01G25/16 , B64C2201/12 , B64C2201/123 , G05B13/0275 , G06F16/29 , G06Q10/06313 , G06Q10/087 , G06Q30/0202 , G06Q50/01 , G06Q50/28 , H04L67/025 , H04W4/02 , H04W4/38 , H04W4/70 , H04W84/18 , Y02P30/10
Abstract: Currently there is no viable end to end integrated technology solution platform available to increase overall crop yield nor well established communication platform nor infrastructure for agriculture management, logistics, storage, distribution and delivery.This patent is offering a global solution to this problem where it will provide a consolidated and integrated IoT (internet of things) system platform with AI (artificial intelligence) where data collection, monitoring, control and communication platform are all managed using a single platform.The utility model relates to the technical field of wireless sensing, specifically an agricultural IoT (Internet of Things) monitoring device based on optical fiber sensing, wherein the device can monitor the temperature, humidity, vibration and other parameters of an agricultural cultivation base. The device is characterized in that the device is provided with a microcontroller, a parameter recorder and the parameter recorder is connected with the sensors. For example: soil temperature sensor and humidity sensors, a soil moisture sensor, a soil conductivity sensor, an air temperature and humidity transducer, a soil salinity sensor, etc.The upper computer is connected with the parameter recorder and the air temperature and humidity transducer through a communication circuit and using WiFi mesh network, data is transferred to a remote laptop or smartphone. Data is stored in cloud for predictive data analysis with AI and real time data analysis which automatically or remotely trigger proactive & preventive actions, thereby increasing crop yield, reduce water consumption and food waste during storage and streamlined logistics of food distribution to the market.User has the option to control how often data is generated and the relevant information. User can set automatic trigger to manage proactive and preventive action on the control system. User can also remotely access and manual set future action either via smart phone or tablet based on actionable output from predictive data analytics.This single integrated IoT system platform is providing end to end solution that is reliable, suitable and effective for agriculture, greenhouse, lawn/yard and garden (both indoor and outdoor) applications.This integrated IoT system is also applicable in various sector such as: Geotechnical soil testing, Oil and Gas Industries (drilling, flow control, oil pipeline management, oil refineries management), Air quality and Waste management, Semiconductor fabrication and Chemical Plant management, Oceanography and atmospheric/environmental science data monitoring for global warming, Fisheries/Aquaculture management, Data center and Cloud device management, Enterprise sustainability management, Inventory, logistics and Supply Chain management and Infrastructure (road, bridges, tunnels, dams, airports, electric grid) management.This integrated IoT system is also applicable to detect earthquake and tsunami where the sensor devices are embedded with multiple sensors installed in the buildings, bridges, bus stops, underground pits, lakes, roads, nearby mountains etc, different data can be captured and analyzed for earthquake predictability and structural integrity of the buildings to prevent collapse during earthquake, a smart alert is sent to mobile phones to authorities to minimize death and destruction.
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