公开(公告)号：US12031837B2

公开(公告)日：2024-07-09

申请号：US17309926

申请日：2020-11-06

Applicant: GOERTEK INC.

Inventor： Libing Zou ,  Yifan Zhang ,  Fuqiang Zhang ,  Baoming Li

IPC: G01C21/00 ,  G01C21/32

CPC classification number: G01C21/3837 ,  G01C21/32 ,  G01C21/3848

Abstract: The present application discloses a method and device for updating a map. The method for updating a map according to the present embodiment includes: in a process of movement of a robot, when it is detected that an actual environment is different from an environment that is indicated by a global map that has already been established, starting up map updating, and establishing an initial local map; determining a locating point according to acquired sensor data and the global map, and optimizing the initial local map according to the locating point, to obtain an optimized local map; and covering a corresponding area of the global map by using the optimized local map, to complete updating of the global map. The embodiments of the present application improve the locating accuracy, ensure the speed and efficiency of the map updating, and save time.

公开(公告)号：US20240038278A1

公开(公告)日：2024-02-01

申请号：US18266401

申请日：2021-10-20

Applicant: Goertek Inc.

Inventor： LIBING ZOU ,  Yifan Zhang ,  Xueqiang Wang ,  Fuqiang Zhang

IPC: G11B27/34 ,  G11B27/031 ,  G06T7/33

CPC classification number: G11B27/34 ,  G11B27/031 ,  G06T7/337 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2207/20081 ,  G06T2207/20056

Abstract: A method and device for timing alignment of audio signals. The method includes: generating frequency domain images respectively for an audio signal to be aligned and a template audio signal (S110); inputting the frequency domain images into a twin neural network of a timing offset prediction model respectively, to obtain two frequency domain features output by the twin neural network (S120); fusing the two frequency domain features to obtain a fused feature (S130); inputting the fused features into a prediction network of the timing offset prediction model to obtain a timing offset output by the prediction network (S140); and performing timing alignment processing on the audio signal to be aligned according to the timing offset (S150). The technical solution is more robust, and especially in a noisy environment, features extracted by a deep neural network are more intrinsic and more stable. An end-to-end timing offset prediction model is more accurate and faster.

公开(公告)号：US20230408278A1

公开(公告)日：2023-12-21

申请号：US18037914

申请日：2021-09-28

Applicant: Goertek Inc.

Inventor： LIBING ZOU ,  Yifan Zhang ,  Yue Ning ,  Fuqiang Zhang

IPC: G01C21/34 ,  G06N3/084

CPC classification number: G01C21/3492 ,  G06N3/084 ,  B60W2554/406 ,  B60W2554/4042

Abstract: The subject matter provides a path planning method, apparatus and electronic device. Wherein, the method comprises: performing environment modeling according to static road network information and dynamic road condition information of a road network so as to obtain an environment model; determining a plurality of candidate paths according to a starting point and an ending point; extracting from the environment model an environmental feature corresponding to each candidate path by a feature extraction network of a path planning model; inputting the environmental feature to a value estimation network of the path planning model so as to obtain an estimated value for each candidate path output by the value estimation network; determining an optimal path among the candidate paths according to the estimated value.

公开(公告)号：US11748975B2

公开(公告)日：2023-09-05

申请号：US17309308

申请日：2020-10-30

Applicant: GOERTEK INC.

Inventor： Shunran Di ,  Yifan Zhang ,  Jie Liu ,  Jifeng Tian

IPC: G06V10/764 ,  G06V10/771 ,  G06V10/82 ,  G06V10/776 ,  G06N3/08

CPC classification number: G06V10/764 ,  G06N3/08 ,  G06V10/771 ,  G06V10/776 ,  G06V10/82

Abstract: The present disclosure discloses a method and device for optimizing an object-class model based on a neural network. The method includes: establishing the object-class model based on the neural network, training the object-class model, and realizing classification of target images by using the object-class model that has been trained; and when a new target image is generated, and the new target image is an image corresponding to a new condition of a target and is capable of still being classified into an original classification system, judging a result of identification of the object-class model to the new target image, and if the object-class model is not capable of correctly classifying the new target image, according to the new target image, selecting some of parameters, adjusting the some of parameters, and training to obtain an object-class model that is capable of correctly classifying the new target image.

公开(公告)号：US11740780B2

公开(公告)日：2023-08-29

申请号：US17594145

申请日：2020-10-30

Applicant: GOERTEK INC.

Inventor： Libing Zou ,  Yifan Zhang ,  Fuqiang Zhang ,  Xueqiang Wang

IPC: G06F3/0487 ,  G06V10/82 ,  G06V40/16 ,  G06V40/18 ,  G06F3/01 ,  G06F3/0354 ,  G06F3/038 ,  G06F3/14

CPC classification number: G06F3/0487 ,  G06F3/012 ,  G06F3/013 ,  G06F3/038 ,  G06F3/03543 ,  G06F3/1423 ,  G06V10/82 ,  G06V40/161 ,  G06V40/18

Abstract: A multi-screen display system and a mouse switching control method are disclosed. The mouse switching control method is applied to a multi-screen display system comprising a main display screen and at least one extended display screen, and comprises: obtaining user images collected by cameras installed on the main display screen and the extended display screen respectively; inputting the user images into a neural network model, and predicting a screen that a user is currently paying attention to using the neural network model to obtain a prediction result; and controlling to switch a mouse to the screen that a user is currently paying attention to according to the prediction result. The system and mouse switching control method are based on self-learning of visual attention, predict the current screen operated by the user, automatically switch the mouse to the corresponding screen position, and improve the user experience.

公开(公告)号：US10466947B2

公开(公告)日：2019-11-05

申请号：US15531633

申请日：2016-07-04

Applicant: GOERTEK INC.

Inventor： Guomin Zou ,  Yifan Zhang ,  Pengcheng Su

IPC: G09G5/02 ,  G06F3/14 ,  G09G3/34 ,  G09G3/20

Abstract: A method and a device for a black and white screen display based on an Android platform, and a smart terminal. The method comprises: selecting a size of the black and white screen according to an image display size that is generated in the Android platform, so that the image display size is adapted to the size of the black and white screen; acquiring Android display data that is generated in the Android platform; individually converting the Android display data that is corresponding to each of pixels into black and white display data that is corresponding to each of the pixels; buffering the converted black and white display data into a queue, extracting the data from the queue by using a preset real-time process and outputting to a data interface of the black and white screen according to a preset frame rate; and displaying the black and white display data that is corresponding to each of the pixels on the black and white screen.