公开(公告)号：US20230394835A1

公开(公告)日：2023-12-07

申请号：US18237536

申请日：2023-08-24

申请人： NEC Corporation

发明人： Ryoma Oami ,  Hiroyoshi MIYANO

IPC分类号： G06V20/52 ,  G06T7/292

CPC分类号： G06V20/52 ,  G06T7/292 ,  G06T2207/30241 ,  G06T2207/30196

摘要： An object tracking apparatus, method and computer-readable medium for detecting an object from output information of sensors, tracking the object on a basis of a plurality of detection results, generating tracking information of the object represented in a common coordinate system, outputting the tracking information, and detecting the object on a basis of the tracking information.

公开(公告)号：US20230384223A1

公开(公告)日：2023-11-30

申请号：US18031698

申请日：2021-10-15

申请人： ABBERIOR INSTRUMENTS GMBH

发明人： Benjamin HARKE ,  Christian WURM ,  Lars KASTRUP ,  Roman SCHMIDT

IPC分类号： G01N21/64 ,  G01B11/14 ,  G06T7/70 ,  G02B21/00

CPC分类号： G01N21/6458 ,  G01B11/14 ,  G06T7/70 ,  G02B21/0076 ,  G06T2207/10064 ,  G06T2207/10061 ,  G06T2207/20021 ,  G06T2207/30241 ,  G06T2207/30204 ,  G06T2207/30242 ,  G06T2207/20084 ,  G06T2207/20081 ,  G06T2207/10152

摘要： The present invention is a method for spatially highly accurate location determination of individual dye molecules of a fluorescent dye by scanning with an intensity distribution of a scanning light having a local minimum. The invention is characterized by the fact that the scanning is not performed uniformly for all dye molecules, but is individually adapted to the dye molecule to be scanned and, if necessary, to its environment in the sample, in order to achieve the most accurate location determination possible with the smallest possible number of fluorescence photons.

公开(公告)号：US20230377758A1

公开(公告)日：2023-11-23

申请号：US18366704

申请日：2023-08-08

申请人： SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

发明人： Ying HU ,  Baoliang ZHAO ,  Long LEI ,  Huajie TANG

IPC分类号： G16H50/50 ,  G06T7/73 ,  G06T7/246 ,  G06T7/00

CPC分类号： G16H50/50 ,  G06T7/73 ,  G06T7/246 ,  G06T7/0012 ,  G06T2207/30096 ,  G06T2207/30241 ,  G06T2207/30204 ,  G06T2207/20081

摘要： The present disclosure relates to the technical field of image processing and provides a motion estimation method and apparatus for a tumor, a terminal device, and a storage medium. The method includes: obtaining a current value of a respiratory correlation signal of a patient, the respiratory correlation signal reflecting a motion trajectory feature of a designated organ with the tumor of the patient in each of different respiratory states; inputting the current value of the respiratory correlation signal into a tumor motion estimation model to obtain an estimated current position of the tumor; and inputting the estimated current position of the tumor into an organ motion estimation model to obtain an estimated current velocity vector field of the designated organ. By adopting the motion estimation method, it realizes a respiratory motion estimation for the whole organ and enhance accuracy of positioning the tumor and vital anatomical structures around the tumor.

公开(公告)号：US11820383B2

公开(公告)日：2023-11-21

申请号：US17164868

申请日：2021-02-02

申请人： DENSO CORPORATION

发明人： Hiroto Banno ,  Takuhiro Omi ,  Yutaka Munaoka ,  Takeshi Enya

IPC分类号： B60W40/08 ,  B60R11/04 ,  G06V20/59 ,  G06V40/16 ,  G06T7/292 ,  G06T7/73 ,  G06T7/593 ,  H04N13/204 ,  B60W30/09 ,  B60W30/14 ,  G08B21/02 ,  G08G1/16 ,  G08B21/06

CPC分类号： B60W40/08 ,  B60R11/04 ,  B60W30/09 ,  B60W30/14 ,  G06T7/292 ,  G06T7/593 ,  G06T7/73 ,  G06V20/597 ,  G06V40/161 ,  G06V40/171 ,  G08B21/02 ,  H04N13/204 ,  B60W2040/0818 ,  B60W2420/42 ,  B60W2540/043 ,  B60W2540/10 ,  B60W2540/12 ,  B60W2540/18 ,  B60W2540/223 ,  B60W2554/00 ,  B60W2554/80 ,  B60W2554/802 ,  B60W2554/804 ,  G06T2207/10012 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/30201 ,  G06T2207/30241 ,  G06T2207/30268 ,  G06V2201/10 ,  G06V2201/12 ,  G08B21/06 ,  G08G1/16

摘要： Apparatus detecting driving incapability state of a driver includes: a head detection portion that successively detects a head portion, which is higher than a neck of the driver, based on an image of a driver's seat captured by an imaging device mounted in a vehicle; and an out-of-frame state detection portion that detects that the driver is incapable of driving, when the head portion detected by the head detection portion is out of a predetermined scope in the image during travelling of the vehicle.

公开(公告)号：US11810255B2

公开(公告)日：2023-11-07

申请号：US17333147

申请日：2021-05-28

申请人： Adobe Inc.

发明人： Noam Aigerman ,  Silvia Gonzalez Sellan ,  Alec Jacobson

IPC分类号： G06T17/20 ,  G06T7/20 ,  G06T15/08 ,  G06T19/20

CPC分类号： G06T17/205 ,  G06T7/20 ,  G06T15/08 ,  G06T19/20 ,  G06T2207/30241 ,  G06T2219/2021

摘要： Techniques for determining a swept volume of an object moving along a trajectory in a 3D space are disclosed. In some examples, a computer graphics application accesses a representation of the object, such as the signed distance field (SDF), and the trajectory information describing the movement path in the 3D space over a time period. The 3D space is represented using a grid of voxels each having multiple vertices. The computer graphics application determines the swept volume of the object in the 3D space by evaluating a subset of the grid of voxels (e.g., the voxels surrounding the surface of the swept volume). The number of voxels in the subset of voxels is less than the number of voxels in the grid of voxels. The computer graphics application further generates a representation of the swept volume surface for output.

公开(公告)号：US11809194B2

公开(公告)日：2023-11-07

申请号：US17565085

申请日：2021-12-29

申请人： TOYOTA JIDOSHA KABUSHIKI KAISHA

发明人： Nobuhide Kamata

IPC分类号： G05D1/02 ,  B60W30/08 ,  G06T7/246 ,  G06T7/73 ,  B60Q9/00 ,  G06T7/277 ,  H04N13/204 ,  G06T7/00

CPC分类号： G05D1/0231 ,  B60Q9/00 ,  B60W30/08 ,  G05D1/0223 ,  G05D1/0246 ,  G05D1/0274 ,  G06T7/246 ,  G06T7/251 ,  G06T7/277 ,  G06T7/75 ,  G05D2201/0213 ,  G06T7/0016 ,  G06T2207/30241 ,  G06T2207/30261 ,  H04N13/204

摘要： A vehicle control device includes a tracking unit estimating a motion of a moving object, a model selection unit selecting a motion model corresponding to a moving object type, an abnormality determination unit determining a presence or absence of an abnormality of the estimation of the motion of the moving object based on the estimated moving object motion and the motion indicated by the motion model, and a control unit. A control mode in which the control unit controls traveling of a host vehicle when the abnormality determination unit determines that the abnormality is present differs from a control mode in which the control unit controls the traveling of the host vehicle when the abnormality determination unit determines that the abnormality is absent.

公开(公告)号：US20230351795A1

公开(公告)日：2023-11-02

申请号：US18347471

申请日：2023-07-05

申请人： NVIDIA Corporation

发明人： Parthasarathy Sriram ,  Fnu Ratnesh Kumar ,  Anil Ubale ,  Farzin Aghdasi ,  Yan Zhai ,  Subhashree Radhakrishnan

IPC分类号： G06V40/10 ,  G06N3/08 ,  G06T7/246 ,  G06V10/26 ,  G06V20/52 ,  G06N3/045 ,  G06V10/82 ,  G06V10/44

CPC分类号： G06V40/103 ,  G06N3/08 ,  G06T7/248 ,  G06V10/26 ,  G06V20/52 ,  G06V40/10 ,  G06N3/045 ,  G06V10/82 ,  G06V10/454 ,  G06T2207/30232 ,  G06T2207/10016 ,  G06T2207/20084 ,  G06T2207/30196 ,  G06T2207/30241

摘要： In various examples, sensor data—such as masked sensor data—may be used as input to a machine learning model to determine a confidence for object to person associations. The masked sensor data may focus the machine learning model on particular regions of the image that correspond to persons, objects, or some combination thereof. In some embodiments, coordinates corresponding to persons, objects, or combinations thereof, in addition to area ratios between various regions of the image corresponding to the persons, objects, or combinations thereof, may be used to further aid the machine learning model in focusing on important regions of the image for determining the object to person associations.

公开(公告)号：US20230349693A1

公开(公告)日：2023-11-02

申请号：US18198223

申请日：2023-05-16

申请人： Electronic Scripting Products, Inc.

发明人： Michael J. Mandella ,  Hector H. Gonzalez-Banos ,  Marek Alboszta

IPC分类号： G01B21/04 ,  G06F3/03 ,  G06F3/0346 ,  G06F3/0354 ,  G06F3/04815 ,  A63F13/428 ,  A63F13/211 ,  A63F13/213 ,  A63F13/812 ,  G06F3/04845 ,  G06T7/73 ,  G06V10/10 ,  G06F3/01 ,  G02B27/01 ,  G06T19/00 ,  A63F13/20

CPC分类号： G01B21/04 ,  G06F3/0325 ,  G06F3/0346 ,  G06F3/03545 ,  G06F3/04815 ,  A63F13/428 ,  A63F13/211 ,  A63F13/213 ,  A63F13/812 ,  G06F3/0317 ,  G06F3/04845 ,  G06T7/73 ,  G06F3/0304 ,  G06V10/17 ,  G06F3/01 ,  G02B27/0172 ,  G06F3/017 ,  G06T19/006 ,  A63F13/20 ,  G06F2203/04806 ,  G02B2027/0178 ,  G06T2207/30241

摘要： A system and method for generating input data from a pose estimate for a pose (position and orientation) of a manipulated object operated in a three-dimensional environment that offers optical features. The manipulated object has an on-board photodetector for providing light data and an on-board auxiliary motion detection component for providing relative motion data indicative of a change in an orientation, a change in position or both (relative change in pose). A processor in communication with the on-board photodetector and auxiliary motion detection component uses light data to determine an absolute pose estimate at times ti and relative motion data to determine a relative pose change. The processor deploys a technique that combines the absolute pose estimate from the light data and the relative pose change from the relative motion data to provide the pose estimate at an application request time tr.

公开(公告)号：US11803983B2

公开(公告)日：2023-10-31

申请号：US17964669

申请日：2022-10-12

申请人： AMGEN INC.

发明人： Graham F. Milne ,  Erwin Freund ,  Ryan L. Smith

IPC分类号： G06T7/60 ,  G06T7/246 ,  G01N21/90 ,  G01N15/14 ,  G01N21/31 ,  G01N21/51 ,  G06T7/00 ,  G01N21/88 ,  G01N15/10

CPC分类号： G06T7/60 ,  G01N15/1429 ,  G01N15/1475 ,  G01N21/31 ,  G01N21/51 ,  G01N21/8851 ,  G01N21/9027 ,  G06T7/0012 ,  G06T7/246 ,  G01N15/1427 ,  G01N2015/1075 ,  G01N2015/1087 ,  G01N2015/144 ,  G01N2015/1445 ,  G01N2015/1452 ,  G01N2015/1472 ,  G01N2015/1477 ,  G01N2015/1493 ,  G01N2015/1497 ,  G06T2207/10004 ,  G06T2207/10016 ,  G06T2207/30004 ,  G06T2207/30241 ,  G06T2207/30242

摘要： An apparatus for nondestructive detection of transparent or reflective objects in a vessel includes an imager configured to acquire data that represent light reflected from spatial locations in the vessel as a function of time, a memory operably coupled to the imager and configured to store the data, and a processor operably coupled to the memory and configured to detect the objects based on the data by (i) identifying a respective maximum amount of reflected light, over time, for each location in the spatial locations based on the data representing light reflected from the spatial locations as a function of time, and (ii) determining a presence or absence of the objects in the vessel based on the number of spatial locations whose respective maximum amount of reflected light, over time, exceeds a predetermined value.

公开(公告)号：US20230342992A1

公开(公告)日：2023-10-26

申请号：US18309968

申请日：2023-05-01

申请人： Brainlab AG

发明人： Kajetan BERLINGER ,  Birte DOMNIK ,  Elisa Garcia Corisco ,  Pascal BERTRAM

IPC分类号： G06T11/00 ,  A61N5/10 ,  A61B6/00 ,  A61B6/12 ,  A61B6/03 ,  G16H50/50 ,  G06T7/20 ,  G06T7/00

CPC分类号： G06T11/003 ,  A61N5/1037 ,  A61B6/486 ,  A61B6/12 ,  A61B6/5223 ,  A61B6/5288 ,  A61B6/032 ,  A61N5/1049 ,  G16H50/50 ,  G06T11/008 ,  G06T7/20 ,  G06T7/0012 ,  A61N2005/1062 ,  G06T2207/10076 ,  G06T2207/10081 ,  G06T2207/10124 ,  G06T2207/30241 ,  G06T2211/412

摘要： A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements representing the secondary anatomical elements; acquiring at least one trajectory, referred to as primary trajectory, based on the 4D-CT, the at least one primary trajectory describing a path of the at least one first image element as a function of time; acquiring trajectories of the second image elements, referred to as secondary trajectories, based on the 4D-CT; for the image elements of the undynamic CT, determining trajectory similarity values based on the at least one primary trajectory and the secondary trajectories, the trajectory similarity values respectively describing a measure of similarity between a respective one of the secondary trajectories and the at least one primary trajectory; determining the dynamic DRR by using the determined trajectory similarity values, and, in case the planning CT is acquired independently from the 4D-CT, further using a transformation referred to as planning transformation from the undynamic CT to the planning CT, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values.