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公开(公告)号:US20240199003A1
公开(公告)日:2024-06-20
申请号:US18523166
申请日:2023-11-29
Applicant: HYUNDAI MOTOR COMPANY , KIA CORPORATION
Inventor: Jong Ho Park
CPC classification number: B60W30/06 , G06V10/44 , G06V20/586 , G06V20/625 , B60W2420/403 , B60W2552/53 , B60W2554/20 , G06V2201/08
Abstract: A method of controlling parking of a vehicle provided with a parking control device including a processor includes: under the control of the processor, obtaining first contour information from a first parked vehicle which is parked in a parking space using sensor information obtained via a sensor module provided in the vehicle; identifying a plurality of parking types for the first parked vehicle based on the first contour information and a current traveling direction of the vehicle; estimating a size of the first parked vehicle in response to a parking type selected among the plurality of parking types; and exploring a target parking space in the parking space based on the size of the first parked vehicle.
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公开(公告)号:US20240185553A1
公开(公告)日:2024-06-06
申请号:US18466127
申请日:2023-09-13
Applicant: Fujitsu Limited
Inventor: Meguru YAMAZAKI
CPC classification number: G06V10/267 , G06T7/12 , G06T7/187 , G06T7/60 , G06T2207/20021 , G06T2207/30236 , G06V20/54 , G06V2201/08
Abstract: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes determining a size of an overlapping area such that adjacent divided areas among a plurality of divided areas obtained by dividing a captured image have the overlapping area with each other across a boundary between the adjacent divided areas, determining a plurality of partial areas that respectively correspond to the plurality of divided areas based on the determined size of the overlapping area, and cutting out a plurality of partial images that respectively correspond to the plurality of partial areas from the captured image.
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公开(公告)号:US20240182016A1
公开(公告)日:2024-06-06
申请号:US18518084
申请日:2023-11-22
Applicant: Ford Motor Company
Inventor: Mario Anthony Santillo , Meghna Menon , Gregory P. Linkowski , Krishna Bandi
CPC classification number: B60W10/20 , B60W40/114 , B60W50/00 , G06V20/40 , G06V20/52 , H04W4/44 , B60W2050/0083 , B60W2520/14 , B60W2540/18 , B60W2556/45 , G06V2201/08
Abstract: A method for the determination of pose information associated with a vehicle, the determination of a steering angle offset of the vehicle using an offset determination model configured to learn the steering angle offset of the vehicle, and the transmission of one or more steering angle offset commands to the vehicle.
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24.
公开(公告)号:US20240161508A1
公开(公告)日:2024-05-16
申请号:US18365631
申请日:2023-08-04
Applicant: Hayden AI Technologies, Inc.
Inventor: Wiktor MURON , Maciej BUDYS , Andrei LIAUKOVICH , Marcin GRZESIAK , Michael GLEESON-MAY , Shaocheng WANG , Vaibhav GHADIOK , Morgan KOHLER
IPC: G06V20/54 , G06V10/764 , G06V10/82 , G06V20/58
CPC classification number: G06V20/54 , G06V10/764 , G06V10/82 , G06V20/58 , G06V2201/08
Abstract: Disclosed herein are methods and systems for automatically validating evidence of traffic violations. One instance of a method comprises receiving an evidence package comprising video frames showing a vehicle involved in a potential traffic violation. The video frames can be input into one or more deep learning models to obtain a plurality of classification results. The method can further comprise generating a score based in part on the classification results and evaluating the score against one or more thresholds to determine whether the evidence package is automatically approved, is automatically rejected, or requires further review.
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公开(公告)号:US11978285B2
公开(公告)日:2024-05-07
申请号:US17804875
申请日:2022-06-01
Applicant: CITIFYD, INC.
Inventor: Sohrab Vossoughi , Gabriel Lopes , Massoud Mollaghaffari , Igor Cornelio Lira , Guilherme Henrique Sehn
IPC: G07B15/06 , G06Q10/02 , G06Q20/20 , G06Q20/32 , G06Q20/40 , G06T7/70 , G06V10/141 , G06V20/54 , G08G1/042 , G08G1/056 , G08G1/14
CPC classification number: G07B15/063 , G06Q10/02 , G06Q20/208 , G06Q20/325 , G06Q20/3276 , G06Q20/3278 , G06Q20/4016 , G06T7/70 , G06V10/141 , G06V20/54 , G08G1/042 , G08G1/056 , G08G1/146 , G08G1/148 , G06Q2240/00 , G06T2207/30242 , G06T2207/30252 , G06V2201/08
Abstract: A parking management system identifies vehicles in entrance lanes, exit lanes, or both, of a parking facility and provides a real-time vehicle inventory count. One or more beacons locate point of sale (POS) devices assigned to parking attendants to determine which of them are performing vehicle transactions. Vehicles can be associated with specific transactions, as well as the transaction-authorizing attendant and the barrier gate and vehicle travel lane to which the attendant is assigned. To reduce fraud, this transaction information can be monitored in real time by a web or mobile dashboard and analyzed in real time or upon attendant end-of-shift checkout. The parking management system also implements permit parking invitation techniques that provide registration, payment in advance or on demand, or both, for parking of an invitee's vehicle. These tasks are accomplished without an inviter's knowledge about the invitee, the invitee's vehicle, or both.
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公开(公告)号:US20240135667A1
公开(公告)日:2024-04-25
申请号:US18048649
申请日:2022-10-20
Applicant: Valeo Schalter und Snsoren GmbH
Inventor: Jagdish Bhanushali , Peter Groth
CPC classification number: G06V10/16 , G06T5/005 , G06T7/55 , G06V10/273 , G06V10/774 , G06V10/82 , G06V20/58 , B60R1/22 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252 , G06V2201/08
Abstract: A method for generating an unobstructed bowl view of a vehicle that includes obtaining a plurality of images from a plurality of cameras disposed on the vehicle and determining a plurality of depth fields. The method further includes detecting a plurality of distorted objects in the plurality of images with a first machine-learned model that assigns a class distribution to the detected distorted object and estimating a distance of each distorted object from its associated camera using the plurality of depth fields. The method further includes assigning an object weight to each distorted object in the plurality of distorted objects and removing at least one distorted objects from the plurality of images. The method further includes replacing each of the at least one removed distorted objects with a representative background generated by a second machine-learned model and stitching and projecting the plurality of images to form the unobstructed bowl view.
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公开(公告)号:US20240135546A1
公开(公告)日:2024-04-25
申请号:US17971259
申请日:2022-10-20
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Ozkan KILIC , Adam James LAWRENCE , Gaowen LIU , Ramana Rao V. R. KOMPELLA
CPC classification number: G06T7/20 , G06V20/41 , G06T2207/10016 , G06T2207/30196 , G06T2207/30232 , G06V2201/08
Abstract: In one embodiment, a device tracks an object in video data captured by one or more cameras. The device represents spatial characteristics of the object over time as one or more timeseries. The device associates different portions of the one or more timeseries with behavioral regimes of the object. The device provides a portion of the video data for display as part of an alert that is based on a rate of change of transitions between the behavioral regimes of the object.
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公开(公告)号:US11961392B2
公开(公告)日:2024-04-16
申请号:US17685605
申请日:2022-03-03
Inventor: Hamed Tabkhivayghan , Omidreza Shoghli
CPC classification number: G08G1/005 , G06V10/82 , G06V20/54 , G08G1/0133 , H04N7/18 , G06V2201/08
Abstract: An edge device for monitoring safety of a highway work zone is disclosed. The edge device includes at least one camera, one or more processors, and memory. The at least one camera is configured to capture images in sequence. The memory stores computer-executable instructions that, when executed, cause the one or more processors to: perform vehicle detection over an input of a data stream of the images, from the at least one camera, utilizing just-in-time processing; determine a level of safety by tracking vehicles detected and performing a time sequence analysis of the vehicles; and send a signal to one or more assisted reality devices indicating the level of safety thereto.
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29.
公开(公告)号:US20240119759A1
公开(公告)日:2024-04-11
申请号:US17962169
申请日:2022-10-07
Applicant: Anil Merchant , Harris Graves Lummis , Ganesh Sankar Harsha Vardhan Vanama , Sai Prajwal Kotamraju , Raghak Radhakrishan
Inventor: Anil Merchant , Harris Graves Lummis , Ganesh Sankar Harsha Vardhan Vanama , Sai Prajwal Kotamraju , Raghak Radhakrishan
CPC classification number: G07B15/02 , G06Q20/102 , G06Q20/3676 , G06Q30/0284 , G06Q30/04 , G06V20/46 , G06V20/54 , G08G1/017 , G06Q2220/00 , G06V2201/08
Abstract: A system and method for computer vision assisted parking space monitoring, vehicle identification, transactionable event determination, calculation of parking fees, invoice generation, user communication, and automated payment processing from a registered user via a registered user account with prior user authorization or by sending the invoice to unregistered users or third parties who may contact unregistered users.
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公开(公告)号:US11953340B2
公开(公告)日:2024-04-09
申请号:US17400252
申请日:2021-08-12
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Yoav Taieb , Itai Ben Shalom
IPC: G01C21/00 , B60W10/18 , B60W30/18 , G01C21/36 , G06T7/00 , G06T7/246 , G06T7/32 , G06T7/70 , G06T7/73 , G06V20/56 , G06V20/58 , G06V20/64 , G06V40/10 , G06V10/46
CPC classification number: G01C21/3807 , B60W10/18 , B60W30/181 , B60W30/18154 , G01C21/3602 , G01C21/3815 , G01C21/3841 , G06T7/246 , G06T7/32 , G06T7/70 , G06T7/73 , G06T7/97 , G06V20/582 , G06V20/584 , G06V20/588 , G06V20/64 , G06V40/103 , B60W2554/802 , B60W2556/40 , B60W2556/50 , G06T2207/30252 , G06T2207/30256 , G06T2207/30261 , G06V10/462 , G06V20/58 , G06V2201/07 , G06V2201/08
Abstract: A navigation system may include a processor programmed to analyze a first image to identify a non-semantic road feature; identify a first image location, in the first image, of one point associated with the non-semantic road feature; analyze a second image to identify a representation of the non-semantic road feature in the second image; identify a second image location, in the second image, of the one point associated with the non-semantic road feature; determine, based on a difference between the first and second image locations and based on motion information for a vehicle between a capture of the first image and a capture of the second image, three-dimensional coordinates for the one point associated with the non-semantic road feature; and send the three-dimensional coordinates for the one point associated with the non-semantic road feature to a server for use in updating a road navigation model.
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