公开(公告)号：US11900684B2

公开(公告)日：2024-02-13

申请号：US17538526

申请日：2021-11-30

Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor： Yui Sugie ,  Koichi Suzuki ,  Naoki Uenoyama ,  Hiroki Takeda ,  Hirohiko Morikawa ,  Genshi Kuno

IPC: G01J5/00 ,  G06V20/54 ,  G06V20/17 ,  G06V40/10 ,  G06V10/20 ,  H04N5/33 ,  B64C39/02 ,  B64U101/30

CPC classification number: G06V20/54 ,  B64C39/024 ,  G01J5/0025 ,  G06V10/255 ,  G06V20/17 ,  G06V40/103 ,  H04N5/33 ,  B64U2101/30 ,  G06V2201/08

Abstract: A server includes a control unit. The control unit determines whether a parked vehicle is used as a shelter based on a first image which is included in an image captured by a camera and which is obtained by imaging the vehicle and surroundings of the vehicle.

公开(公告)号：US11900335B2

公开(公告)日：2024-02-13

申请号：US17649601

申请日：2022-02-01

Applicant: Tractable Ltd

Inventor： Razvan Ranca ,  Marcel Horstmann ,  Bjorn Mattsson ,  Janto Oellrich ,  Yih Kai Teh ,  Ken Chatfield ,  Franziska Kirschner ,  Rusen Aktas ,  Laurent Decamp ,  Mathieu Ayel ,  Julia Peyre ,  Shaun Trill ,  Crystal Van Oosterom ,  Stephen Hardwick

IPC: G06V10/00 ,  G06Q10/20 ,  G06N3/049 ,  G06N3/08 ,  G06T7/00 ,  G06Q10/0875 ,  G06N20/20 ,  G06T7/11 ,  G06N20/00 ,  G06F16/2457 ,  G06Q10/0631 ,  G06F40/20 ,  G06Q30/0283 ,  G06N3/04 ,  G06V20/10 ,  G06V10/25 ,  G06V10/82 ,  G06F18/24 ,  G06F18/214 ,  G06F18/231 ,  G06F18/20 ,  G06F18/2415 ,  G06F18/2431 ,  G06F18/243 ,  G06N3/045 ,  G06V10/764 ,  G06V10/44 ,  G06V10/20 ,  G06V10/22 ,  G06Q40/08 ,  G06Q30/016

CPC classification number: G06Q10/20 ,  G06F16/24578 ,  G06F18/214 ,  G06F18/2148 ,  G06F18/231 ,  G06F18/24 ,  G06F18/2415 ,  G06F18/2431 ,  G06F18/24317 ,  G06F18/285 ,  G06F40/20 ,  G06N3/04 ,  G06N3/045 ,  G06N3/049 ,  G06N3/08 ,  G06N20/00 ,  G06N20/20 ,  G06Q10/06313 ,  G06Q10/0875 ,  G06Q30/0283 ,  G06T7/0002 ,  G06T7/0004 ,  G06T7/11 ,  G06V10/22 ,  G06V10/225 ,  G06V10/25 ,  G06V10/255 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06Q30/016 ,  G06Q40/08 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/30156 ,  G06T2207/30164 ,  G06T2207/30248 ,  G06T2207/30252 ,  G06V2201/08 ,  G06V2201/10

Abstract: A method of determining one or more damage states of one or more auxiliary parts of a damaged vehicle, the vehicle comprising a plurality of normalized parts and at least some of the normalized parts further comprising one or more auxiliary parts. The method includes receiving one or more images of the vehicle, using a plurality of classifiers, each determining at least one classification of damage to the vehicle, each said classification being determined for each of a plurality of normalized parts of the vehicle, determining one or more classifications for the plurality of auxiliary parts using one or more trained models, wherein each classification comprises at least one indication of damage to at least one auxiliary part and outputting the determined damage states of the one or more auxiliary parts.

公开(公告)号：US20240046495A1

公开(公告)日：2024-02-08

申请号：US18089021

申请日：2022-12-27

Applicant: HON HAI PRECISION INDUSTRY CO., LTD.

Inventor： SHIH-CHAO CHIEN ,  CHIN-PIN KUO

IPC: G06T7/55 ,  G06V10/774 ,  G06T7/73 ,  G06T7/60

CPC classification number: G06T7/55 ,  G06V10/774 ,  G06T7/73 ,  G06T7/60 ,  G06T2207/30244 ,  G06T2207/20081 ,  G06V2201/08 ,  G06T2207/20068

Abstract: A method for training a depth recognition model implemented in an electronic device includes determining test objects from test images, and obtaining a first image and a second image; calculating a test projection slope of each test object according to coordinates of each pixel point of each test object in the test images; generating a threshold range according to the plurality of test projection slopes; recognizing a type of terrain corresponding to a position of each initial object; adjusting an initial ground area in the first image, and obtaining a target ground area in the first image; generating a target height loss of a preset depth recognition network, an initial depth image corresponding to the first image, and the target ground area; and adjusting the preset depth recognition network according to the target height loss and a depth loss, and obtaining a depth recognition model for recognizing depth of images.

公开(公告)号：US11893888B2

公开(公告)日：2024-02-06

申请号：US18242296

申请日：2023-09-05

Applicant: Shady Eskander ,  Romel Ghossain

Inventor： Shady Eskander ,  Romel Ghossain

IPC: G08G1/14 ,  G08G1/017 ,  G06V20/54 ,  G06V20/62 ,  G06Q10/02

CPC classification number: G08G1/149 ,  G06Q10/02 ,  G06V20/54 ,  G06V20/625 ,  G08G1/017 ,  G08G1/148 ,  G06V2201/08

Abstract: An apparatus and a parking management system for parking a vehicle is provided. The apparatus has a base member, a movable member including a support frame, support legs extending from the support frame, hinges secured to the base member and pivotably engaged with the legs, respectively, to allow the movable member to rotate relative to the base member, a driving mechanism, an information reader for reading user information, and a control unit. The control unit receives user information from the information reader and usage information from the server, and if the user information matches the usage information, sends an instruction to the actuator to cause an arm of the actuator to rotate the rotation lever, generating a force to move a support leg and drive the movable member to a position where the movable member allows the vehicle to park.

公开(公告)号：US11891050B2

公开(公告)日：2024-02-06

申请号：US17527588

申请日：2021-11-16

Applicant: Hyundai Motor Company ,  Kia Corporation

Inventor： Sang Hyu Lee ,  Young Chae Ahn

IPC: G08G1/14 ,  B60W30/06 ,  G08G1/017 ,  G05D1/00 ,  G06F3/01 ,  G06F3/0488 ,  G06V20/10 ,  G06V40/20 ,  G06V40/10 ,  G06V20/62

CPC classification number: B60W30/06 ,  G05D1/0016 ,  G06F3/017 ,  G06F3/0488 ,  G06V20/10 ,  G06V40/107 ,  G06V40/28 ,  G08G1/017 ,  G08G1/144 ,  G05D2201/0213 ,  G06V20/625 ,  G06V2201/08

Abstract: A terminal apparatus for remotely controlling autonomous parking is provided. The autonomous parking managing terminal receives a vehicle control command from a user and transmits the vehicle control command to an autonomous parking managing server. The autonomous parking managing server receives the vehicle control command from the autonomous parking managing terminal and transmits the received vehicle control command to a vehicle. The vehicle performs parking via autonomous driving based on the vehicle control command.

公开(公告)号：US20240037806A1

公开(公告)日：2024-02-01

申请号：US18257573

申请日：2021-08-19

Applicant: AGCO International GmbH

Inventor： Martin Peter Christiansen ,  Ramon Buchaca Tarragona

IPC: G06T11/00 ,  G06V20/58 ,  G06T7/70 ,  G06T7/60 ,  A01D90/10 ,  A01D41/127

CPC classification number: G06T11/00 ,  G06V20/58 ,  G06T7/70 ,  G06T7/60 ,  A01D90/10 ,  A01D41/127 ,  G06T2207/30252 ,  G06T2207/30188 ,  G06T2207/20081 ,  G06V2201/08 ,  G06T2200/24

Abstract: One or more computing devices are configured to receiving image data from a camera on a harvester during a harvest operation, apply a machine learning model to identify, using only image data from the camera, a receiving vehicle from among a plurality of possible different receiving vehicles, determine dimensions associated with the identified receiving vehicle, and determine, using the dimensions and the image data, a location of the receiving vehicle relative to the harvester. An electronic device including a graphical user interface is configured to receive the location data from the one or more computing devices, use the location data to generate a graphical representation illustrating the relative positions of an unload conveyor of the harvester and a grain bin of the receiving vehicle, and present the graphical representation on the graphical user interface.

公开(公告)号：US11874423B2

公开(公告)日：2024-01-16

申请号：US17077124

申请日：2020-10-22

Applicant: WiTricity Corporation

Inventor： Hans Peter Widmer ,  Lukas Sieber ,  Andreas Daetwyler

IPC: G01V3/08 ,  G01V3/10 ,  H02J50/10 ,  H02J50/90 ,  B60L53/122 ,  B60L53/124 ,  B60L53/65 ,  H02J50/60 ,  H05B1/02 ,  B60L53/38 ,  G06F18/21

CPC classification number: G01V3/088 ,  B60L53/122 ,  B60L53/124 ,  B60L53/38 ,  B60L53/65 ,  G01V3/101 ,  G06F18/217 ,  H02J50/10 ,  H02J50/60 ,  H02J50/90 ,  H05B1/0288 ,  G06V2201/08

Abstract: A multi-purpose detection circuit for object detection and vehicle position determination is described. For example, the circuit is configurable for detecting foreign metallic objects, living objects, and a vehicle or type of vehicle above an inductive wireless power transmitter. The circuit is also configurable for determining the vehicle's position relative to the inductive wireless power transmitter. An example apparatus includes a measurement circuit including a multiplexer, electrically connected to a plurality of inductive and capacitive sense circuits, for measuring one or more electrical characteristics in each of the inductive and capacitive sense circuits according to a predetermined time multiplexing scheme. The apparatus further includes a control and evaluation circuit for evaluating the measured electrical characteristics and determining at least one of a presence of a metallic object, a living object, a vehicle, or a type of vehicle, and a vehicle position based on changes in the measured electrical characteristics.

公开(公告)号：US20230410661A1

公开(公告)日：2023-12-21

申请号：US18121572

申请日：2023-03-14

Applicant: HON HAI PRECISION INDUSTRY CO., LTD.

Inventor： WAN-JHEN LEE ,  CHIN-PIN KUO

IPC: G08G1/16 ,  G08G1/056 ,  G06V20/58 ,  G06V20/56 ,  G06T7/215 ,  G06T7/194 ,  G06T7/246

CPC classification number: G08G1/167 ,  G08G1/056 ,  G06V20/58 ,  G06V20/588 ,  G06T7/215 ,  G06T7/194 ,  G06T7/246 ,  G06V2201/08 ,  G06T2207/30261 ,  G06T2207/30256

Abstract: A method for warning collision of vehicle is provided. The method obtains a pre-detected video. The pre-detected video includes a number of video frames, and the video frames are continuous. The method detects one or more vehicles in each of the video frames and determines a movement state of each of the vehicles via an optical flow method. The method detects one or more lane lines in each of the video frames to determine lane information, and determines whether to provide a collision warning according to the lane information and the movement state of each of the vehicles. A related vehicle and a non-transitory storage medium are provided.

公开(公告)号：US20230382299A1

公开(公告)日：2023-11-30

申请号：US18202331

申请日：2023-05-26

Applicant: HONDA MOTOR CO., LTD.

Inventor： Jovin Jeevan Dsa ,  Akira Kanehara

IPC: B60Q9/00 ,  G06V20/56 ,  G06V20/59 ,  G06T7/70 ,  G06V20/58 ,  G06V10/12

CPC classification number: B60Q9/00 ,  G06V20/588 ,  G06V20/597 ,  G06T7/70 ,  G06V20/58 ,  G06V10/12 ,  G06T2207/30201 ,  G06T2207/30256 ,  G06T2207/30268 ,  G06V2201/08

Abstract: A driving support device is detachably attached to a vehicle via a detachable member and performs: acquiring one or more images obtained by imaging a surrounding situation of the vehicle; and determining a notification intensity of a notification for a driver of the vehicle on the basis of a change of a target in the one or more images when it is predicted on the basis of information acquired from the one or more images that the vehicle is to depart from a traveling lane in which the vehicle is traveling and causing a notifier to output a notification of the determined notification intensity.

公开(公告)号：US20230377332A1

公开(公告)日：2023-11-23

申请号：US18364251

申请日：2023-08-02

Applicant: PIXORD CORPORATION

Inventor： HSUN-JUNG CHO ,  HUNG-HSUN CHEN ,  YI-JUNG WU

IPC: G06V20/40 ,  G08G1/01 ,  G08G1/07 ,  G06V20/54 ,  G06V10/56

CPC classification number: G06V20/40 ,  G08G1/0116 ,  G08G1/07 ,  G06V20/54 ,  G06V10/56 ,  G06V2201/08

Abstract: A method for determining a time length for developing a timing plan of traffic light control is disclosed. The method comprises the steps of: acquiring a first image at a preset time point before a red light of a traffic light is turned off, wherein the first image includes vehicles stopped at the red light; preprocessing the first image to generate a second image; extracting features from the second image by an artificial intelligence algorithm to generate a feature information, and determining a position relationship between vehicles on multiple lanes in the first image based on the feature information; and, determining the time length by the artificial intelligence algorithm according to the determined position relationship.